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Volumn 38, Issue 18, 2017, Pages 5186-5214

Scale computation on high spatial resolution remotely sensed imagery multi-scale segmentation

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RESOLUTION; REMOTE SENSING; SEMANTICS;

EID: 85038216873     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2017.1325536     Document Type: Review
Times cited : (35)

References (100)
  • 1
    • 0029507498 scopus 로고
    • Local Indicators of Spatial Association-LISA
    • Anselin, L., 1995. “Local Indicators of Spatial Association-LISA.” Geographical Analysis 27 (2): 93–115. doi:10.1111/j.1538-4632.1995.tb00338.x.
    • (1995) Geographical Analysis , vol.27 , Issue.2 , pp. 93-115
    • Anselin, L.1
  • 2
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution Segmentation–An Optimization Approach for High Quality Multi-Scale Image Segmentation
    • Strobl J., (ed), Hrsg., Karlsruhe: Herbert Wichmann Verlag, and
    • Baatz, M., and A., Schäpe. 2000. “Multiresolution Segmentation–An Optimization Approach for High Quality Multi-Scale Image Segmentation.” In Angewandte Geographische Informationsverarbeitung XII. Beiträge Zum AGIT-Symposium Salzburg, Hrsg. Strobl, J., et al., 12–23. Karlsruhe: Herbert Wichmann Verlag. http://www.citeulike.org/user/iwagner/article/2987356
    • (2000) Angewandte Geographische Informationsverarbeitung XII. Beiträge Zum AGIT-Symposium Salzburg , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 6
    • 1642487678 scopus 로고    scopus 로고
    • Multi-Resolution, Object-Oriented Fuzzy Analysis of Remote Sensing Data for GIS-Ready Information
    • Benz, U. C., P., Hofmann, G., Willhauck, I., Lingenfelder, and M., Heynen. 2004. “Multi-Resolution, Object-Oriented Fuzzy Analysis of Remote Sensing Data for GIS-Ready Information.” ISPRS Journal of Photogrammetry and Remote Sensing 58 (3–4): 239–258. doi:10.1016/j.isprsjprs.2003.10.002.
    • (2004) ISPRS Journal of Photogrammetry and Remote Sensing , vol.58 , Issue.3-4 , pp. 239-258
    • Benz, U.C.1    Hofmann, P.2    Willhauck, G.3    Lingenfelder, I.4    Heynen, M.5
  • 8
    • 0000082465 scopus 로고    scopus 로고
    • Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications
    • Blaschke, T., S., Lang, L., Eric, S., Josef, and Z., Peter. 2000. “Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications.” Environmental Information for Planning 2: 555–570. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.6084.
    • (2000) Environmental Information for Planning , vol.2 , pp. 555-570
    • Blaschke, T.1    Lang, S.2    Eric, L.3    Josef, S.4    Peter, Z.5
  • 9
    • 0142003038 scopus 로고    scopus 로고
    • A Multi-Scale Segmentation/Object Relationship Modelling Methodology for Landscape Analysis
    • Burnett, C., and T., Blaschke. 2003. “A Multi-Scale Segmentation/Object Relationship Modelling Methodology for Landscape Analysis.” Ecological Modelling 168 (3): 233–249. doi:10.1016/S0304-3800(03)00139-X.
    • (2003) Ecological Modelling , vol.168 , Issue.3 , pp. 233-249
    • Burnett, C.1    Blaschke, T.2
  • 11
    • 84938420549 scopus 로고    scopus 로고
    • A Local Approach to Optimize the Scale Parameter in Multiresolution Segmentation for Multispectral Imagery
    • Cánovas-García, F., and F., Alonso. 2015. “A Local Approach to Optimize the Scale Parameter in Multiresolution Segmentation for Multispectral Imagery.” Geocarto International 30 (8): 937–961. doi:10.1080/10106049.2015.1004131.
    • (2015) Geocarto International , vol.30 , Issue.8 , pp. 937-961
    • Cánovas-García, F.1    Alonso, F.2
  • 13
    • 0035546355 scopus 로고    scopus 로고
    • Color Image Segmentation: Advances and Prospects
    • Cheng, H. D., X. H., Jiang, Y., Sun, and J. L., Wang. 2001. “Color Image Segmentation: Advances and Prospects.” Pattern Recognition 34 (12): 2259–2281. doi:10.1016/S0031-3203(00)00149-7.
    • (2001) Pattern Recognition , vol.34 , Issue.12 , pp. 2259-2281
    • Cheng, H.D.1    Jiang, X.H.2    Sun, Y.3    Wang, J.L.4
  • 14
    • 84907350963 scopus 로고    scopus 로고
    • Scale Object Selection (SOS) through a Hierarchical Segmentation by a Multi-Spectral Per-Pixel Classification
    • Chini, M., A., Chiancone, and S., Stramondo. 2014. “Scale Object Selection (SOS) through a Hierarchical Segmentation by a Multi-Spectral Per-Pixel Classification.” Pattern Recognition Letters 49: 214–223. doi:10.1016/j.patrec.2014.07.012.
    • (2014) Pattern Recognition Letters , vol.49 , pp. 214-223
    • Chini, M.1    Chiancone, A.2    Stramondo, S.3
  • 16
    • 0031205930 scopus 로고    scopus 로고
    • Predicting the Complexity of Habitat in Forests from Airborne Videography for Wildlife Management
    • Coops, N. C., and P. C., Catling. 1997. “Predicting the Complexity of Habitat in Forests from Airborne Videography for Wildlife Management.” International Journal of Remote Sensing 18 (12): 2677–2682. doi:10.1080/014311697217530.
    • (1997) International Journal of Remote Sensing , vol.18 , Issue.12 , pp. 2677-2682
    • Coops, N.C.1    Catling, P.C.2
  • 17
    • 84878666673 scopus 로고    scopus 로고
    • An Object-Based Workflow to Extract Landforms at Multiple Scales from Two Distinct Data Types
    • d’Oleire-Oltmanns, S. D., C., Eisank, L., Drăgut, and T., Blaschke. 2013. “An Object-Based Workflow to Extract Landforms at Multiple Scales from Two Distinct Data Types.” IEEE Geoscience and Remote Sensing Letters 10 (4): 947–951. doi:10.1109/LGRS.2013.2254465.
    • (2013) IEEE Geoscience and Remote Sensing Letters , vol.10 , Issue.4 , pp. 947-951
    • d’Oleire-Oltmanns, S.D.1    Eisank, C.2    Drăgut, L.3    Blaschke, T.4
  • 18
    • 80053564185 scopus 로고    scopus 로고
    • Use of Salient Features for the Design of a Multistage Framework to Extract Roads from High-Resolution Multispectral Satellite Images
    • Das, S., T. T., Mirnalinee, and K., Varghese. 2011. “Use of Salient Features for the Design of a Multistage Framework to Extract Roads from High-Resolution Multispectral Satellite Images.” IEEE Transactions on Geoscience and Remote Sensing 49 (10): 3906–3931. doi:10.1109/TGRS.2011.2136381.
    • (2011) IEEE Transactions on Geoscience and Remote Sensing , vol.49 , Issue.10 , pp. 3906-3931
    • Das, S.1    Mirnalinee, T.T.2    Varghese, K.3
  • 20
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data
    • Drǎguţ, L., D., Tiede, and S. R., Levick. 2010. “ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data.” International Journal of Geographical Information Science 24 (6): 859–871. doi:10.1080/13658810903174803.
    • (2010) International Journal of Geographical Information Science , vol.24 , Issue.6 , pp. 859-871
    • Drǎguţ, L.1    Tiede, D.2    Levick, S.R.3
  • 21
    • 84891136260 scopus 로고    scopus 로고
    • Automated Parameterisation for Multi-Scale Image Segmentation on Multiple Layers
    • Drăguţ, L., O., Csillik, C., Eisank, and D., Tiede. 2014. “Automated Parameterisation for Multi-Scale Image Segmentation on Multiple Layers.” ISPRS Journal of Photogrammetry and Remote Sensing 88 (100): 119–127. doi:10.1016/j.isprsjprs.2013.11.018.
    • (2014) ISPRS Journal of Photogrammetry and Remote Sensing , vol.88 , Issue.100 , pp. 119-127
    • Drăguţ, L.1    Csillik, O.2    Eisank, C.3    Tiede, D.4
  • 22
    • 84455200427 scopus 로고    scopus 로고
    • A Comparison of Pixel-Based and Object Based Image Analysis with Selected Machine Learning Algorithms for the Classification of Agricultural Landscapes Using SPOT-5 HRG Imagery
    • Duro, D. C., S. E., Franklin, and M. G., Dubé. 2012. “A Comparison of Pixel-Based and Object Based Image Analysis with Selected Machine Learning Algorithms for the Classification of Agricultural Landscapes Using SPOT-5 HRG Imagery.” Remote Sensing of Environment 118: 259–272. doi:10.1016/j.rse.2011.11.020.
    • (2012) Remote Sensing of Environment , vol.118 , pp. 259-272
    • Duro, D.C.1    Franklin, S.E.2    Dubé, M.G.3
  • 23
    • 77951955988 scopus 로고    scopus 로고
    • A Proposed Multi-Scale Approach with Automatic Scale Selection for Image Change Detection
    • Emary, E., K., Mostafa, and M. O., Hoda. 2009. “A Proposed Multi-Scale Approach with Automatic Scale Selection for Image Change Detection.” IEEE International Conference on Image Processing 13 (1): 3185–3188. doi:10.1016/j.ejrs.2010.07.001.
    • (2009) IEEE International Conference on Image Processing , vol.13 , Issue.1 , pp. 3185-3188
    • Emary, E.1    Mostafa, K.2    Hoda, M.O.3
  • 24
    • 33747105856 scopus 로고    scopus 로고
    • Parameter Selection for Region-Growing Image Segmentation Algorithms Using Spatial Autocorrelation
    • Espindola, G. M., G., Camara, I. A., Reis, L. S., Bins, and A. M., Monteiro. 2006. “Parameter Selection for Region-Growing Image Segmentation Algorithms Using Spatial Autocorrelation.” International Journal of Remote Sensing 27 (14): 3035–3040. doi:10.1080/01431160600617194.
    • (2006) International Journal of Remote Sensing , vol.27 , Issue.14 , pp. 3035-3040
    • Espindola, G.M.1    Camara, G.2    Reis, I.A.3    Bins, L.S.4    Monteiro, A.M.5
  • 25
    • 0000960565 scopus 로고
    • The Contiguity Ratio and Statistical Mapping
    • Geary, R. C., 1954. “The Contiguity Ratio and Statistical Mapping.” The Incorporated Statistician 5 (3): 115–145. doi:10.2307/2986645.
    • (1954) The Incorporated Statistician , vol.5 , Issue.3 , pp. 115-145
    • Geary, R.C.1
  • 26
    • 0001198449 scopus 로고
    • Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach
    • Getis, A., 1991. “Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach.” Environment and Planning A 23 (9): 1269–1277. doi:10.1068/a231269.
    • (1991) Environment and Planning A , vol.23 , Issue.9 , pp. 1269-1277
    • Getis, A.1
  • 27
    • 84977363017 scopus 로고
    • The Analysis of Spatial Association by Use of Distance Statistics
    • Getis, A., and J. K., Ord. 1992. “The Analysis of Spatial Association by Use of Distance Statistics.” Geographical Analysis 24: 189–206. doi:10.1111/j.1538-4632.1992.tb00261.x.
    • (1992) Geographical Analysis , vol.24 , pp. 189-206
    • Getis, A.1    Ord, J.K.2
  • 28
    • 36249005654 scopus 로고    scopus 로고
    • Interpretation Theory and Application Method Development for Information Extraction from High Resolution Remotely Sensed Data
    • Gong, P., X., Li, and B., Xu. 2006. “Interpretation Theory and Application Method Development for Information Extraction from High Resolution Remotely Sensed Data.” Journal of Remote Sensing 10 (1): 1–5.
    • (2006) Journal of Remote Sensing , vol.10 , Issue.1 , pp. 1-5
    • Gong, P.1    Li, X.2    Xu, B.3
  • 29
    • 28444486932 scopus 로고    scopus 로고
    • The Validity and Usefulness of Laws in Geographic Information Science and Geography
    • Goodchild, M. F., 2004. “The Validity and Usefulness of Laws in Geographic Information Science and Geography.” Annals of the Association of American Geographers 94 (2): 300–303. doi:10.1111/j.1467-8306.2004.09402008.x.
    • (2004) Annals of the Association of American Geographers , vol.94 , Issue.2 , pp. 300-303
    • Goodchild, M.F.1
  • 30
    • 2142668215 scopus 로고    scopus 로고
    • Detecting Dominant Landscape Objects through Multiple Scales: An Integration of Object-Specific Methods and Watershed Segmentation
    • Hall, O., G. J., Hay, A., Bouchard, and D. J., Marceau. 2004. “Detecting Dominant Landscape Objects through Multiple Scales: An Integration of Object-Specific Methods and Watershed Segmentation.” Landscape Ecology 19: 59–76. doi:10.1023/B:LAND.0000018371.43447.1f.
    • (2004) Landscape Ecology , vol.19 , pp. 59-76
    • Hall, O.1    Hay, G.J.2    Bouchard, A.3    Marceau, D.J.4
  • 31
    • 84873949458 scopus 로고    scopus 로고
    • Selection of Optimal Scale in Remotely Sensed Image Classification
    • Han, P., J. Y., Gong, Z. L., Li, Y. C., Bo, and L., Cheng. 2010. “Selection of Optimal Scale in Remotely Sensed Image Classification.” Journal of Remote Sensing 14 (3): 507–518.
    • (2010) Journal of Remote Sensing , vol.14 , Issue.3 , pp. 507-518
    • Han, P.1    Gong, J.Y.2    Li, Z.L.3    Bo, Y.C.4    Cheng, L.5
  • 33
    • 0031254274 scopus 로고    scopus 로고
    • “Spatial Thresholds, Image-Objects, and Upscaling: A Multiscale Evaluation
    • Hay, G. J., K., Niernann, and D., Goodenough. 1997. ““Spatial Thresholds, Image-Objects, and Upscaling: A Multiscale Evaluation.” Remote Sensing of Environment 62: 1–19. doi:10.1016/S0034-4257(97)81622-7.
    • (1997) Remote Sensing of Environment , vol.62 , pp. 1-19
    • Hay, G.J.1    Niernann, K.2    Goodenough, D.3
  • 34
    • 84926405452 scopus 로고    scopus 로고
    • Chapter 8. Visualizing Scale-Domain Manifolds: A Multiscale Geo-Object Based Approach
    • Weng Q., (ed), John Wiley & Sons,. edited by
    • Hay, G. J., 2014. “Chapter 8. Visualizing Scale-Domain Manifolds: A Multiscale Geo-Object Based Approach.” In Scale Issues in Remote Sensing, edited by Q., Weng, 141–169. John Wiley & Sons. doi:10.1002/9781118801628.ch08.
    • (2014) Scale Issues in Remote Sensing , pp. 141-169
    • Hay, G.J.1
  • 35
    • 77649094470 scopus 로고    scopus 로고
    • Forward: Special Issue on Geographic Object-Based Image Analysis (GEOBIA)
    • Hay, G. J., and T., Blaschke. 2010. “Forward: Special Issue on Geographic Object-Based Image Analysis (GEOBIA).” Photogrammetric Engineering and Remote Sensing 76 (2): 121–122.
    • (2010) Photogrammetric Engineering and Remote Sensing , vol.76 , Issue.2 , pp. 121-122
    • Hay, G.J.1    Blaschke, T.2
  • 36
    • 0242417408 scopus 로고    scopus 로고
    • A Comparison of Three Image-Object Methods for the Multiscale Analysis of Landscape Structure
    • Hay, G. J., T., Blaschke, D. J., Marceau, and A., Bouchard. 2003. “A Comparison of Three Image-Object Methods for the Multiscale Analysis of Landscape Structure.” Isprs Journal of Photogrammetry and Remote Sensing 57 (5–6): 327–345. doi:10.1016/S0924-2716(02)00162-4.
    • (2003) Isprs Journal of Photogrammetry and Remote Sensing , vol.57 , Issue.5-6 , pp. 327-345
    • Hay, G.J.1    Blaschke, T.2    Marceau, D.J.3    Bouchard, A.4
  • 37
    • 80051611856 scopus 로고    scopus 로고
    • Optimal Segmentation Scale Model Based on Object-Oriented Analysis Method
    • He, M., W. J., Zhang, and W. H., Wang. 2009. “Optimal Segmentation Scale Model Based on Object-Oriented Analysis Method.” Journal of Geodesy and Geodynamics 29 (1): 106–109.
    • (2009) Journal of Geodesy and Geodynamics , vol.29 , Issue.1 , pp. 106-109
    • He, M.1    Zhang, W.J.2    Wang, W.H.3
  • 38
    • 84977120802 scopus 로고    scopus 로고
    • An Improved Calculation Model of Object Oriented for the Optimal Segmentation Scale of Remote Sensing Image
    • Hu, W. L., P., Zhao, and Z. Y., Dong. 2010. “An Improved Calculation Model of Object Oriented for the Optimal Segmentation Scale of Remote Sensing Image.” Geography and Geo-Information Science 26 (6): 15–18.
    • (2010) Geography and Geo-Information Science , vol.26 , Issue.6 , pp. 15-18
    • Hu, W.L.1    Zhao, P.2    Dong, Z.Y.3
  • 39
    • 33745718212 scopus 로고    scopus 로고
    • PhD diss., Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences
    • Huang, H. P., 2003. “Scale Issues in Object-oriented Image Analysis.” PhD diss., Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences.
    • (2003) Scale Issues in Object-oriented Image Analysis
    • Huang, H.P.1
  • 40
    • 77950369345 scopus 로고    scopus 로고
    • Data Clustering: 50 Years beyond K-Means
    • Jain, A. K., 2010. “Data Clustering: 50 Years beyond K-Means.” Pattern Recognition Letters 31 (8): 651–666. doi:10.1016/j.patrec.2009.09.011.
    • (2010) Pattern Recognition Letters , vol.31 , Issue.8 , pp. 651-666
    • Jain, A.K.1
  • 42
    • 84948960139 scopus 로고    scopus 로고
    • Remote Sensing Image Fusion at the Segment Level Using a Spatially-Weighted Approach: Applications for Land Cover Spectral Analysis and Mapping
    • Johnson, B., 2015. “Remote Sensing Image Fusion at the Segment Level Using a Spatially-Weighted Approach: Applications for Land Cover Spectral Analysis and Mapping.” ISPRS International Journal of Geo-Information 4 (1): 172–184. doi:10.3390/ijgi4010172.
    • (2015) ISPRS International Journal of Geo-Information , vol.4 , Issue.1 , pp. 172-184
    • Johnson, B.1
  • 43
    • 84952791227 scopus 로고    scopus 로고
    • Image Segmentation Parameter Optimization considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery
    • Johnson, B., M., Bragais, I., Endo, D., Magcale-Macandog, and P., Macandog. 2015. “Image Segmentation Parameter Optimization considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery.” ISPRS International Journal of Geo-Information 4: 2292–2305. doi:10.3390/ijgi4042292.
    • (2015) ISPRS International Journal of Geo-Information , vol.4 , pp. 2292-2305
    • Johnson, B.1    Bragais, M.2    Endo, I.3    Magcale-Macandog, D.4    Macandog, P.5
  • 44
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised Image Segmentation Evaluation and Refinement Using a Multi-Scale Approach
    • Johnson, B., and Z. X., Xie. 2011. “Unsupervised Image Segmentation Evaluation and Refinement Using a Multi-Scale Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 66 (4): 473–483. doi:10.1016/j.isprsjprs.2011.02.006.
    • (2011) ISPRS Journal of Photogrammetry and Remote Sensing , vol.66 , Issue.4 , pp. 473-483
    • Johnson, B.1    Xie, Z.X.2
  • 46
    • 84979944094 scopus 로고    scopus 로고
    • Estimation of Optimal Image Object Size for the Segmentation of Forest Stands with Multispectral IKONOS Imagery
    • Blaschke T., Lang S., Hay G.J., (eds), Berlin, Heidelberg: Springer, and,. edited by
    • Kim, M., M., Madden, and T., Warner. 2008. “Estimation of Optimal Image Object Size for the Segmentation of Forest Stands with Multispectral IKONOS Imagery.” In Object-Based Image Analysis-Spatial Concepts for Knowledge Driven Remote Sensing Applications, edited by T., Blaschke, S., Lang, and G. J., Hay, 291–307. Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-77058-9_16.
    • (2008) Object-Based Image Analysis-Spatial Concepts for Knowledge Driven Remote Sensing Applications , pp. 291-307
    • Kim, M.1    Madden, M.2    Warner, T.3
  • 47
    • 0027338791 scopus 로고
    • The Spectral Image Processing System (Sips)–Interactive Visualization and Analysis of Imaging Spectrometer Data
    • Kruse, F. A., A. B., Lefkoff, J. W., Boardman, K. B., Heidebrecht, A. T., Shapiro, P. J., Barloon, and A. F. H., Goetz. 1993. “The Spectral Image Processing System (Sips)–Interactive Visualization and Analysis of Imaging Spectrometer Data.” Remote Sensing of Environment 44 (2–3): 145–163. doi:10.1016/0034-4257(93)90013-N.
    • (1993) Remote Sensing of Environment , vol.44 , Issue.2-3 , pp. 145-163
    • Kruse, F.A.1    Lefkoff, A.B.2    Boardman, J.W.3    Heidebrecht, K.B.4    Shapiro, A.T.5    Barloon, P.J.6    Goetz, A.F.H.7
  • 48
    • 0026442949 scopus 로고
    • On the Issues of Scale Resolution, and Fractal Analysis in the Mapping Sciences
    • Lam, N., and D. A., Quattrochi. 1992. “On the Issues of Scale Resolution, and Fractal Analysis in the Mapping Sciences.” The Professional Geographer 44 (1): 88–98. doi:10.1111/j.0033-0124.1992.00088.x.
    • (1992) The Professional Geographer , vol.44 , Issue.1 , pp. 88-98
    • Lam, N.1    Quattrochi, D.A.2
  • 49
    • 84863310705 scopus 로고    scopus 로고
    • Current Issues in High-Resolution Earth Observation Technology
    • Li, D. R., Q. X., Tong, R. X., Li, J. Y., Gong, and L. P., Zhang. 2012. “Current Issues in High-Resolution Earth Observation Technology.” Science China Earth Sciences 55 (7): 1043–1051. doi:10.1007/s11430-012-4445-9.
    • (2012) Science China Earth Sciences , vol.55 , Issue.7 , pp. 1043-1051
    • Li, D.R.1    Tong, Q.X.2    Li, R.X.3    Gong, J.Y.4    Zhang, L.P.5
  • 50
    • 74349088548 scopus 로고    scopus 로고
    • The First Law of Geography and Spatial Temporal Proximity
    • Li, X. W., C. X., Cao, and C. Y., Chang. 2007. “The First Law of Geography and Spatial Temporal Proximity.” Chinese Journal of Nature 29 (2): 69–71.
    • (2007) Chinese Journal of Nature , vol.29 , Issue.2 , pp. 69-71
    • Li, X.W.1    Cao, C.X.2    Chang, C.Y.3
  • 52
    • 84891015034 scopus 로고    scopus 로고
    • An Adaptive Algorithm for Automated Polygonal Approximation of High Spatial Resolution Remote Sensing Imagery Segmentation Contours
    • Liu, J. H., J. F., Zhang, F. J., Xu, Z. J., Huang, and Y. P., Li. 2014. “An Adaptive Algorithm for Automated Polygonal Approximation of High Spatial Resolution Remote Sensing Imagery Segmentation Contours.” IEEE Transactions on Geoscience and Remote Sensing 52 (2): 1099–1106. doi:10.1109/TGRS.2013.2247407.
    • (2014) IEEE Transactions on Geoscience and Remote Sensing , vol.52 , Issue.2 , pp. 1099-1106
    • Liu, J.H.1    Zhang, J.F.2    Xu, F.J.3    Huang, Z.J.4    Li, Y.P.5
  • 54
    • 78751541143 scopus 로고    scopus 로고
    • A Survey on High Spatial Resolution Remotely Sensed Imagery Segmentation Techniques and Application Strategy
    • Liu, J. H., and Z. Y., Mao. 2009. “A Survey on High Spatial Resolution Remotely Sensed Imagery Segmentation Techniques and Application Strategy.” Remote Sensing Information 6: 95–101.
    • (2009) Remote Sensing Information , vol.6 , pp. 95-101
    • Liu, J.H.1    Mao, Z.Y.2
  • 55
    • 85056925412 scopus 로고    scopus 로고
    • Vector Edge Extraction from Multi-Spectral High Spatial Resolution Remotely Sensed Imagery (MHSRRSI) Based on Multi-Color Space
    • Liu, J. H., and Z. Y., Mao. 2010. “Vector Edge Extraction from Multi-Spectral High Spatial Resolution Remotely Sensed Imagery (MHSRRSI) Based on Multi-Color Space.” Journal of Geoinformation Science 12 (6): 850–854. doi:10.1109/MINES.2010.210.
    • (2010) Journal of Geoinformation Science , vol.12 , Issue.6 , pp. 850-854
    • Liu, J.H.1    Mao, Z.Y.2
  • 57
    • 33845449329 scopus 로고    scopus 로고
    • An Algorithm of Multi-Spectral Remote Sensing Image Segmentation Based on Edge Information
    • Liu, Y. X., M. C., Li, and L., Mao. 2006. “An Algorithm of Multi-Spectral Remote Sensing Image Segmentation Based on Edge Information.” Journal of Remote Sensing 10 (3): 350–356.
    • (2006) Journal of Remote Sensing , vol.10 , Issue.3 , pp. 350-356
    • Liu, Y.X.1    Li, M.C.2    Mao, L.3
  • 58
    • 84878893270 scopus 로고    scopus 로고
    • Optimized Spectral Angel Mapper Classification of Spatially Heterogeneous Dynamic Dune Vegetation, a Case Study along the Belgian Coastline
    • ISPMSRS, (ed), Beijing:, and,. ISPRS WG VII/1, edited by
    • Luc, B., D., Bart, K., Pieter, D., Walter, and P., Sam. 2005. “Optimized Spectral Angel Mapper Classification of Spatially Heterogeneous Dynamic Dune Vegetation, a Case Study along the Belgian Coastline.” In The 9th International Symposium on Physical Measurements and Signatures in Remote Sensing, ISPRS WG VII/1, edited by ISPMSRS. Beijing. https://core.ac.uk/display/29279595.
    • (2005) The 9th International Symposium on Physical Measurements and Signatures in Remote Sensing
    • Luc, B.1    Bart, D.2    Pieter, K.3    Walter, D.4    Sam, P.5
  • 59
    • 79951986549 scopus 로고    scopus 로고
    • Theoretic and Methodological Review on Sensor Information Tupu Computation
    • Luo, J. C., C. H., Zhou, Z. F., Shen, X. M., Yang, Q. X., Chen, and D. P., Ming. 2009. “Theoretic and Methodological Review on Sensor Information Tupu Computation.” Journal of Geoinformation Science 11 (5): 664–669. http://www.dqxxkx.cn/CN/Y2009/V11/I5/664.
    • (2009) Journal of Geoinformation Science , vol.11 , Issue.5 , pp. 664-669
    • Luo, J.C.1    Zhou, C.H.2    Shen, Z.F.3    Yang, X.M.4    Chen, Q.X.5    Ming, D.P.6
  • 60
    • 0000503696 scopus 로고    scopus 로고
    • Remote Sensing Contributions to the Scale Issue
    • Marceau, D. J., and G. J., Hay. 1999. “Remote Sensing Contributions to the Scale Issue.” Canadian Journal of Remote Sensing 25 (4): 357–366. doi:10.1080/07038992.1999.10874735.
    • (1999) Canadian Journal of Remote Sensing , vol.25 , Issue.4 , pp. 357-366
    • Marceau, D.J.1    Hay, G.J.2
  • 62
    • 82155192323 scopus 로고    scopus 로고
    • Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis
    • Martha, T. R., N., Kerle, C. J., van Westen, V., Jetten, and K. V., Kumar. 2011. “Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis.” IEEE Transactions on Geoscience and Remote Sensing 49 (12): 4928–4943. doi:10.1109/TGRS.2011.2151866.
    • (2011) IEEE Transactions on Geoscience and Remote Sensing , vol.49 , Issue.12 , pp. 4928-4943
    • Martha, T.R.1    Kerle, N.2    van Westen, C.J.3    Jetten, V.4    Kumar, K.V.5
  • 63
    • 85032572572 scopus 로고    scopus 로고
    • A Comparison of Segmentation Programs for High Resolution Remote Sensing Data
    • Meinel, G., and M., Neubert. 2004. “A Comparison of Segmentation Programs for High Resolution Remote Sensing Data.” International Archives of Photogrammetry & Remote Sensing XXXV: 1097–1105. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.2290.
    • (2004) International Archives of Photogrammetry & Remote Sensing , vol.35 , pp. 1097-1105
    • Meinel, G.1    Neubert, M.2
  • 64
    • 28344443465 scopus 로고    scopus 로고
    • Tobler’s First Law and Spatial Analysis
    • Miller, H. J., 2004. “Tobler’s First Law and Spatial Analysis.” Annals of the Association of American Geographers 94 (2): 284–289. doi:10.1111/j.1467-8306.2004.09402005.x.
    • (2004) Annals of the Association of American Geographers , vol.94 , Issue.2 , pp. 284-289
    • Miller, H.J.1
  • 65
    • 84929448899 scopus 로고    scopus 로고
    • Scale Parameter Selection by Spatial Statistics for GEOBIA: Using Mean-Shift Based Multi-Scale Segmentation as an Example
    • Ming, D. P., J., Li, J. Y., Wang, and M., Zhang. 2015. “Scale Parameter Selection by Spatial Statistics for GEOBIA: Using Mean-Shift Based Multi-Scale Segmentation as an Example.” ISPRS Journal of Photogrammetry and Remote Sensing 8 (106): 28–41. doi:10.1016/j.isprsjprs.2015.04.010.
    • (2015) ISPRS Journal of Photogrammetry and Remote Sensing , vol.8 , Issue.106 , pp. 28-41
    • Ming, D.P.1    Li, J.2    Wang, J.Y.3    Zhang, M.4
  • 66
    • 77958072962 scopus 로고    scopus 로고
    • Modified Local Variance Based Method for Selecting the Optimal Spatial Resolution of Remote Sensing Image
    • Liu Y., (ed), Beijing:, and,. edited by
    • Ming, D. P., J. C., Luo, and L. X., Li. 2010. “Modified Local Variance Based Method for Selecting the Optimal Spatial Resolution of Remote Sensing Image.” In Proceedings of the 18th International Conference on Geoinformatics, edited by Y., Liu. Beijing. doi:10.1109/GEOINFORMATICS.2010.5567566.
    • (2010) Proceedings of the 18th International Conference on Geoinformatics
    • Ming, D.P.1    Luo, J.C.2    Li, L.X.3
  • 67
    • 84905457559 scopus 로고    scopus 로고
    • Modified Average Local Variance for Pixel-Level Scale Selection of Multi-Band Remote Sensing Images and Its Scale Effect on Image Classification Accuracy
    • Ming, D. P., J. Y., Du, X. Y., Zhang, and T. T., Liu. 2013. “Modified Average Local Variance for Pixel-Level Scale Selection of Multi-Band Remote Sensing Images and Its Scale Effect on Image Classification Accuracy.” Journal of Applied Remote Sensing 7 (1): 254–254. doi:10.1117/1.JRS.7.073565.
    • (2013) Journal of Applied Remote Sensing , vol.7 , Issue.1 , pp. 254
    • Ming, D.P.1    Du, J.Y.2    Zhang, X.Y.3    Liu, T.T.4
  • 68
    • 79956072627 scopus 로고    scopus 로고
    • Modified ALV for Selecting the Optimal Spatial Resolution and Its Scale Effect on Image Classification Accuracy
    • Ming, D. P., J. Y., Yang, L. X., Li, and Z. Q., Song. 2011. “Modified ALV for Selecting the Optimal Spatial Resolution and Its Scale Effect on Image Classification Accuracy.” Mathematical and Computer Modelling 54: 1061–1068. doi:10.1016/j.mcm.2010.11.036.
    • (2011) Mathematical and Computer Modelling , vol.54 , pp. 1061-1068
    • Ming, D.P.1    Yang, J.Y.2    Li, L.X.3    Song, Z.Q.4
  • 69
    • 84862816098 scopus 로고    scopus 로고
    • Semivariogram-Based Spatial Bandwidth Selection for Remote Sensing Image Segmentation with Mean-Shift Algorithm
    • Ming, D. P., T. Y., Ci, H. Y., Cai, L., Li, C., Qiao, and J., Du. 2012. “Semivariogram-Based Spatial Bandwidth Selection for Remote Sensing Image Segmentation with Mean-Shift Algorithm.” IEEE Geoscience & Remote Sensing Letters 9 (5): 813–817. doi:10.1109/LGRS.2011.2182604.
    • (2012) IEEE Geoscience & Remote Sensing Letters , vol.9 , Issue.5 , pp. 813-817
    • Ming, D.P.1    Ci, T.Y.2    Cai, H.Y.3    Li, L.4    Qiao, C.5    Du, J.6
  • 70
    • 85027224598 scopus 로고    scopus 로고
    • Scale Parameter Estimation Based on the Spatial and Spectral Statistics in High Spatial Resolution Image Segmentation
    • Ming, D. P., W., Zhou, and M., Wang. 2016. “Scale Parameter Estimation Based on the Spatial and Spectral Statistics in High Spatial Resolution Image Segmentation.” Journal of Geo-Information Science 18 (5): 622–631. doi:10.3724/SP.J.1047.2016.00622.
    • (2016) Journal of Geo-Information Science , vol.18 , Issue.5 , pp. 622-631
    • Ming, D.P.1    Zhou, W.2    Wang, M.3
  • 71
    • 33749653515 scopus 로고    scopus 로고
    • Performance Evaluation of Image Segmentation
    • Monteiro, F. C., and A. C., Campilho. 2006. “Performance Evaluation of Image Segmentation.” Lecture Notes in Computer Science 4141 (3): 248–259. doi:10.1007/11867586_24.
    • (2006) Lecture Notes in Computer Science , vol.4141 , Issue.3 , pp. 248-259
    • Monteiro, F.C.1    Campilho, A.C.2
  • 72
    • 76549254593 scopus 로고
    • Notes on Continuous Stochastic Phenomena
    • Moran, P. A. P., 1950. “Notes on Continuous Stochastic Phenomena.” Biometrika 37 (1–2): 17–23. doi:10.1093/biomet/37.1-2.17.
    • (1950) Biometrika , vol.37 , Issue.1-2 , pp. 17-23
    • Moran, P.A.P.1
  • 73
    • 0025620076 scopus 로고
    • Kriging: A Method of Interpolation for Geographical Information Systems
    • Oliver, M. A., and R., Webster. 1990. “Kriging: A Method of Interpolation for Geographical Information Systems.” International Journal of Geographical Information Systems 4 (3): 313–332. doi:10.1080/02693799008941549.
    • (1990) International Journal of Geographical Information Systems , vol.4 , Issue.3 , pp. 313-332
    • Oliver, M.A.1    Webster, R.2
  • 76
    • 79951862564 scopus 로고    scopus 로고
    • Flood Monitoring Using Multitemporal COSMO-Skymed Data: Image Segmentation and Signature Interpretation
    • Pulvirenti, L., M., Chini, N., Pierdicca, L., Guerriero, and P., Ferrazzoli. 2011. “Flood Monitoring Using Multitemporal COSMO-Skymed Data: Image Segmentation and Signature Interpretation.” Remote Sensing of Environment 115 (4): 990–1002. doi:10.1016/j.rse.2010.12.002.
    • (2011) Remote Sensing of Environment , vol.115 , Issue.4 , pp. 990-1002
    • Pulvirenti, L.1    Chini, M.2    Pierdicca, N.3    Guerriero, L.4    Ferrazzoli, P.5
  • 78
    • 32644478072 scopus 로고    scopus 로고
    • Effects of Changing Spatial Extent on Landscape Pattern Analysis
    • Shen, W. J., J. G., Wu, H., Ren, Y. B., Lin, and M. H., Li. 2003. “Effects of Changing Spatial Extent on Landscape Pattern Analysis.” Acta Ecologica Sinica 23 (11): 2219–2231.
    • (2003) Acta Ecologica Sinica , vol.23 , Issue.11 , pp. 2219-2231
    • Shen, W.J.1    Wu, J.G.2    Ren, H.3    Lin, Y.B.4    Li, M.H.5
  • 79
    • 39749101342 scopus 로고    scopus 로고
    • Monitoring Shrub Land Habitat Changes through Object-Based Change Identification with Airborne Multispectral Imagery
    • Stow, D., Y., Hamada, L., Coulter, and Z., Anguelova. 2008. “Monitoring Shrub Land Habitat Changes through Object-Based Change Identification with Airborne Multispectral Imagery.” Remote Sensing of Environment 112 (3): 1051–1061. doi:10.1016/j.rse.2007.07.011.
    • (2008) Remote Sensing of Environment , vol.112 , Issue.3 , pp. 1051-1061
    • Stow, D.1    Hamada, Y.2    Coulter, L.3    Anguelova, Z.4
  • 80
    • 0347999710 scopus 로고    scopus 로고
    • A Review on Scale in Remote Sensing
    • Su, L. H., X. W., Li, and Y. X., Huang. 2001. “A Review on Scale in Remote Sensing.” Advance in Earth Sciences 16 (4): 544–548.
    • (2001) Advance in Earth Sciences , vol.16 , Issue.4 , pp. 544-548
    • Su, L.H.1    Li, X.W.2    Huang, Y.X.3
  • 84
    • 0000565591 scopus 로고
    • A Computer Movie Simulating Urban Growth in the Detroit Region
    • Tobler, W., 1970. “A Computer Movie Simulating Urban Growth in the Detroit Region.” Economic Geography 46: 234–240. doi:10.2307/143141.
    • (1970) Economic Geography , vol.46 , pp. 234-240
    • Tobler, W.1
  • 85
    • 28344451497 scopus 로고    scopus 로고
    • On the First Law of Geography: A Reply
    • Tobler, W., 2004. “On the First Law of Geography: A Reply.” Annals of the Association of American Geographers 94 (2): 304–310. doi:10.1111/j.1467-8306.2004.09402009.x.
    • (2004) Annals of the Association of American Geographers , vol.94 , Issue.2 , pp. 304-310
    • Tobler, W.1
  • 86
    • 85088645017 scopus 로고    scopus 로고
    •  eCognition Software
    • Trimble. 2017. eCognition Software. http://www.ecognition.com/.
    • (2017)
  • 87
    • 84879983002 scopus 로고    scopus 로고
    • Survey of Contemporary Trends in Color Image Segmentation
    • Vantaram, S. R., and E., Saber. 2012. “Survey of Contemporary Trends in Color Image Segmentation.” Journal of Electronic Imaging 21 (4): id. 040901. doi:10.1117/1.JEI.21.4.040901.
    • (2012) Journal of Electronic Imaging , vol.21 , Issue.4
    • Vantaram, S.R.1    Saber, E.2
  • 88
    • 85056979510 scopus 로고    scopus 로고
    • Study on the Automatic Selection of Segmentation Scale Parameters for High Spatial Resolution Remote Sensing Images
    • Wang, Z. H., F., Meng, X. M., Yang, F. S., Yang, and Y., Fang. 2016. “Study on the Automatic Selection of Segmentation Scale Parameters for High Spatial Resolution Remote Sensing Images.” Journal of Geo-Information Science 18 (5): 639–648. doi:10.3724/SP.J.1047.2016.00639.
    • (2016) Journal of Geo-Information Science , vol.18 , Issue.5 , pp. 639-648
    • Wang, Z.H.1    Meng, F.2    Yang, X.M.3    Yang, F.S.4    Fang, Y.5
  • 90
    • 0023163644 scopus 로고
    • The Factor of Scale in Remote Sensing
    • Woodcock, C. E., and A. H., Strahler. 1987. “The Factor of Scale in Remote Sensing.” Remote Sensing of Environment 21 (3): 311–332. doi:10.1016/0034-4257(87)90015-0.
    • (1987) Remote Sensing of Environment , vol.21 , Issue.3 , pp. 311-332
    • Woodcock, C.E.1    Strahler, A.H.2
  • 91
    • 0027009286 scopus 로고
    • Nested-Hierarchical Scene Models and Image Segmentation
    • Woodcock, C. E., and V. J., Harward. 1992. “Nested-Hierarchical Scene Models and Image Segmentation.” International Journal of Remote Sensing 13 (16): 3167–3187. doi:10.1080/01431169208904109.
    • (1992) International Journal of Remote Sensing , vol.13 , Issue.16 , pp. 3167-3187
    • Woodcock, C.E.1    Harward, V.J.2
  • 92
    • 34250359508 scopus 로고    scopus 로고
    • Segmentation of High-Resolution Remotely Sensed Imagery Based on Phase Congruency
    • Xiao, P. F., and X. Z., Feng. 2007. “Segmentation of High-Resolution Remotely Sensed Imagery Based on Phase Congruency.” Acta Geodaetica ET Cartographica Sinica (China) 36 (2): 146–151.
    • (2007) Acta Geodaetica ET Cartographica Sinica (China) , vol.36 , Issue.2 , pp. 146-151
    • Xiao, P.F.1    Feng, X.Z.2
  • 93
    • 84899963925 scopus 로고    scopus 로고
    • A Multi-Band Approach to Unsupervised Scale Parameter Selection for Multi-Scale Image Segmentation
    • Yang, J., P. J., Li, and Y. H., He. 2014. “A Multi-Band Approach to Unsupervised Scale Parameter Selection for Multi-Scale Image Segmentation.” ISPRS Journal of Photogrammetry and Remote Sensing 94: 13–24. doi:10.1016/j.isprsjprs.2014.04.008.
    • (2014) ISPRS Journal of Photogrammetry and Remote Sensing , vol.94 , pp. 13-24
    • Yang, J.1    Li, P.J.2    He, Y.H.3
  • 94
    • 84867054186 scopus 로고    scopus 로고
    • A Scale-Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation
    • Yi, L. N., G. F., Zhang, and Z. C., Wu. 2012. “A Scale-Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation.” IEEE Transactions on Geoscience and Remote Sensing 50 (10): 4062–4070. doi:10.1109/TGRS.2012.2187789.
    • (2012) IEEE Transactions on Geoscience and Remote Sensing , vol.50 , Issue.10 , pp. 4062-4070
    • Yi, L.N.1    Zhang, G.F.2    Wu, Z.C.3
  • 95
    • 23844440634 scopus 로고    scopus 로고
    • Quality Assessment for Geo-Spatial Objects Derived from Remotely Sensed Data
    • Zhan, Q. M., M., Molenaar, K., Tempfli, and W. Z., Shi. 2005. “Quality Assessment for Geo-Spatial Objects Derived from Remotely Sensed Data.” International Journal of Remote Sensing 26 (14): 2953–2974. doi:10.1080/01431160500057764.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.14 , pp. 2953-2974
    • Zhan, Q.M.1    Molenaar, M.2    Tempfli, K.3    Shi, W.Z.4
  • 96
    • 41949100170 scopus 로고    scopus 로고
    • Image Segmentation Evaluation: A Survey of Unsupervised Methods
    • Zhang, H., J., Fritts, and S., Goldman. 2008. “Image Segmentation Evaluation: A Survey of Unsupervised Methods.” Computer Vision & Image Understanding 110 (2): 260–280. doi:10.1016/j.cviu.2007.08.003.
    • (2008) Computer Vision & Image Understanding , vol.110 , Issue.2 , pp. 260-280
    • Zhang, H.1    Fritts, J.2    Goldman, S.3
  • 97
    • 80051635428 scopus 로고    scopus 로고
    • An Object-Oriented Optimal Scale Choice Method for High Spatial Resolution Remote Sensing Image
    • Zhang, J., Y. J., Wang, Y., Li, and X. F., Wang. 2009. “An Object-Oriented Optimal Scale Choice Method for High Spatial Resolution Remote Sensing Image.” Science & Technology Review 27 (21): 91–94.
    • (2009) Science & Technology Review , vol.27 , Issue.21 , pp. 91-94
    • Zhang, J.1    Wang, Y.J.2    Li, Y.3    Wang, X.F.4
  • 98
    • 84922378744 scopus 로고    scopus 로고
    • Segmentation Quality Evaluation Using Region-Based Precision and Recall Measures for Remote Sensing Images
    • Zhang, X. L., X. Z., Feng, P. F., Xiao, G. J., He, and L. J., Zhu. 2015. “Segmentation Quality Evaluation Using Region-Based Precision and Recall Measures for Remote Sensing Images.” ISPRS Journal of Photogrammetry and Remote Sensing 102: 73–84. doi:10.1016/j.isprsjprs.2015.01.009.
    • (2015) ISPRS Journal of Photogrammetry and Remote Sensing , vol.102 , pp. 73-84
    • Zhang, X.L.1    Feng, X.Z.2    Xiao, P.F.3    He, G.J.4    Zhu, L.J.5


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