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Volumn 11, Issue 3, 2017, Pages

Classification of semiurban landscapes from very high-resolution satellite images using a regionalized multiscale segmentation approach

Author keywords

landscape dynamics.; multiscale segmentation; object based classification; object based image analysis; very high resolution satellite images

Indexed keywords

IMAGE ANALYSIS; IMAGE SEGMENTATION; SATELLITES;

EID: 85029769564     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.11.035016     Document Type: Article
Times cited : (34)

References (71)
  • 1
    • 0034010010 scopus 로고    scopus 로고
    • Estimation of sub-pixel land cover composition in the presence of untrained classes
    • G. M. Foody, "Estimation of sub-pixel land cover composition in the presence of untrained classes," Comput. Geosci. 26(4), 469-478 (2000).
    • (2000) Comput. Geosci , vol.26 , Issue.4 , pp. 469-478
    • Foody, G.M.1
  • 2
    • 62349132975 scopus 로고    scopus 로고
    • Increasing the accuracy of neural network classification using refined training data
    • T. Kavzoglu, "Increasing the accuracy of neural network classification using refined training data," Environ. Modell. Software 24(7), 850-858 (2009).
    • (2009) Environ. Modell. Software , vol.24 , Issue.7 , pp. 850-858
    • Kavzoglu, T.1
  • 3
    • 85003756283 scopus 로고    scopus 로고
    • Satellite image classification using genetic algorithm trained radial basis function neural network, application to the detection of flooded areas
    • A. Singh and K. K. Singh, "Satellite image classification using genetic algorithm trained radial basis function neural network, application to the detection of flooded areas," J. Visual Commun. Image Representation 42, 173-182 (2017).
    • (2017) J. Visual Commun. Image Representation , vol.42 , pp. 173-182
    • Singh, A.1    Singh, K.K.2
  • 4
    • 0027334540 scopus 로고
    • Linear mixing and the estimation of ground cover proportions
    • J. J. Settle and N. A. Drake, "Linear mixing and the estimation of ground cover proportions," Int. J. Remote Sens. 14(6), 1159-1177 (1993).
    • (1993) Int. J. Remote Sens , vol.14 , Issue.6 , pp. 1159-1177
    • Settle, J.J.1    Drake, N.A.2
  • 6
    • 84962563851 scopus 로고    scopus 로고
    • Mapping complex urban land cover from spaceborne imagery: The influence of spatial resolution, spectral band set and classification approach
    • R. Momeni, P. Aplin, and D. Boyd, "Mapping complex urban land cover from spaceborne imagery: the influence of spatial resolution, spectral band set and classification approach," Remote Sens. 8(2), 88 (2016).
    • (2016) Remote Sens , vol.8 , Issue.2 , pp. 88
    • Momeni, R.1    Aplin, P.2    Boyd, D.3
  • 7
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
    • L. Dr?gut, D. Tiede, and S. R. Levick, "ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data," Int. J. Geog. Inf. Sci. 24(6), 859-871 (2010).
    • (2010) Int. J. Geog. Inf. Sci , vol.24 , Issue.6 , pp. 859-871
    • Drgut, L.1    Tiede, D.2    Levick, S.R.3
  • 8
    • 84874537432 scopus 로고    scopus 로고
    • Advances in very-high-resolution remote sensing
    • J. A. Benediktsson, J. Chanussot, and W. M. Moon, "Advances in very-high-resolution remote sensing," Proc. IEEE 101(3), 566-569 (2013).
    • (2013) Proc. IEEE , vol.101 , Issue.3 , pp. 566-569
    • Benediktsson, J.A.1    Chanussot, J.2    Moon, W.M.3
  • 10
    • 33745615125 scopus 로고    scopus 로고
    • Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
    • Q. Yu et al., "Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery," Photogramm. Eng. Remote Sens. 72(7), 799-811 (2006).
    • (2006) Photogramm. Eng. Remote Sens , vol.72 , Issue.7 , pp. 799-811
    • Yu, Q.1
  • 12
    • 79952070569 scopus 로고    scopus 로고
    • Per-pixel vs. Object-based classification of urban land cover extraction using high spatial resolution imagery
    • S. W. Myint et al., "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery," Remote Sens. Environ. 115(5), 1145-1161 (2011).
    • (2011) Remote Sens. Environ , vol.115 , Issue.5 , pp. 1145-1161
    • Myint, S.W.1
  • 13
    • 84869054245 scopus 로고    scopus 로고
    • High-resolution urban land-cover classification using a competitive multi-scale object-based approach
    • B. A. Johnson, "High-resolution urban land-cover classification using a competitive multi-scale object-based approach," Remote Sens. Lett. 4(2), 131-140 (2013).
    • (2013) Remote Sens. Lett , vol.4 , Issue.2 , pp. 131-140
    • Johnson, B.A.1
  • 14
    • 34249108636 scopus 로고    scopus 로고
    • Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery
    • R. Mathieu, C. Freeman, and J. Aryal, "Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery," Landscape Urban Plann. 81(3), 179-192 (2007).
    • (2007) Landscape Urban Plann , vol.81 , Issue.3 , pp. 179-192
    • Mathieu, R.1    Freeman, C.2    Aryal, J.3
  • 15
    • 84954224388 scopus 로고    scopus 로고
    • The use of logistic model tree (LMT) for pixel-and object-based classifications using high-resolution WorldView-2 imagery
    • I. Colkesen and T. Kavzoglu, "The use of logistic model tree (LMT) for pixel-and object-based classifications using high-resolution WorldView-2 imagery," Geocarto Int. 32(1), 71-86 (2017).
    • (2017) Geocarto Int , vol.32 , Issue.1 , pp. 71-86
    • Colkesen, I.1    Kavzoglu, T.2
  • 16
    • 79960676967 scopus 로고    scopus 로고
    • A comparison of the performance of pixel-based and object-based classifications over images with various spatial resolutions
    • G. J. Hay, T. Blaschke, and D. Marceau, Eds., University of Calgary, Alberta, Canada, ISPRS
    • Y. Gao and J. F. Mas, "A comparison of the performance of pixel-based and object-based classifications over images with various spatial resolutions," in GEOBIA 2008-Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century, G. J. Hay, T. Blaschke, and D. Marceau, Eds., University of Calgary, Alberta, Canada, ISPRS Vol. No. XXXVIII-4/C1. Archives 1682-1777 (2008).
    • (2008) GEOBIA 2008-Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century , vol.38 , pp. 1682-1777
    • Gao, Y.1    Mas, J.F.2
  • 17
    • 79955383550 scopus 로고    scopus 로고
    • Assessing object-based classification: Advantages and limitations
    • D. Liu and F. Xia, "Assessing object-based classification: advantages and limitations," Remote Sens. Lett. 1(4), 187-194 (2010).
    • (2010) Remote Sens. Lett , vol.1 , Issue.4 , pp. 187-194
    • Liu, D.1    Xia, F.2
  • 18
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • T. Blaschke, "Object based image analysis for remote sensing," ISPRS J. Photogramm. Remote Sens. 65(1), 2-16 (2010).
    • (2010) ISPRS J. Photogramm. Remote Sens , vol.65 , Issue.1 , pp. 2-16
    • Blaschke, T.1
  • 19
    • 84930068766 scopus 로고    scopus 로고
    • Foreword for the GEOBIA special issue
    • I. Gitas and G. Mallinis, "Foreword for the GEOBIA special issue," Photogramm. Eng. Remote Sens. 81(6), 449-450 (2015).
    • (2015) Photogramm. Eng. Remote Sens , vol.81 , Issue.6 , pp. 449-450
    • Gitas, I.1    Mallinis, G.2
  • 21
    • 84942590106 scopus 로고    scopus 로고
    • Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image
    • T. Kavzoglu, I. Colkesen, and T. Yomralioglu, "Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image," Remote Sens. Lett. 6(11), 834-843 (2015).
    • (2015) Remote Sens. Lett , vol.6 , Issue.11 , pp. 834-843
    • Kavzoglu, T.1    Colkesen, I.2    Yomralioglu, T.3
  • 22
    • 84912081653 scopus 로고    scopus 로고
    • A comparison of pixel-based and object-based land cover classification methods in an arid/semi-arid environment of northwestern China
    • Changsha, China
    • J.-X. Zhang and J. Jia, "A comparison of pixel-based and object-based land cover classification methods in an arid/semi-arid environment of northwestern China," in Third Int. Workshop on Earth Observation and Remote Sensing Applications (EORSA '14), Changsha, China, pp. 403-407 (2014).
    • (2014) Third Int. Workshop on Earth Observation and Remote Sensing Applications (EORSA '14) , pp. 403-407
    • Zhang, J.-X.1    Jia, J.2
  • 23
    • 84904909081 scopus 로고    scopus 로고
    • Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
    • M. Belgiu and L. Dr?gut, "Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery," ISPRS J. Photogramm. Remote Sens. 96, 67-75 (2014).
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.96 , pp. 67-75
    • Belgiu, M.1    Drgut, L.2
  • 24
    • 84930068510 scopus 로고    scopus 로고
    • Object-based building change detection from a single multispectral image and pre-existing geospatial information
    • G. Doxani, K. Karantzalos, and M. Tsakiri, "Object-based building change detection from a single multispectral image and pre-existing geospatial information," Photogramm. Eng. Remote Sens. 81(6), 481-489 (2015).
    • (2015) Photogramm. Eng. Remote Sens , vol.81 , Issue.6 , pp. 481-489
    • Doxani, G.1    Karantzalos, K.2    Tsakiri, M.3
  • 26
    • 84898666719 scopus 로고    scopus 로고
    • Forest mapping through object-based image analysis of multispectral and LiDAR aerial data
    • M. Machala and L. Zejdová, "Forest mapping through object-based image analysis of multispectral and LiDAR aerial data," Eur. J. Remote Sens. 47(1), 117-131 (2014).
    • (2014) Eur. J. Remote Sens , vol.47 , Issue.1 , pp. 117-131
    • Machala, M.1    Zejdová, L.2
  • 27
    • 3242679857 scopus 로고    scopus 로고
    • A performance evaluation of a burned area object-based classification model when applied to topographically and non-topographically corrected TM imagery
    • G. H. Mitri and I. Z. Gitas, "A performance evaluation of a burned area object-based classification model when applied to topographically and non-topographically corrected TM imagery," Int. J. Remote Sens. 25(14), 2863-2870 (2004).
    • (2004) Int. J. Remote Sens , vol.25 , Issue.14 , pp. 2863-2870
    • Mitri, G.H.1    Gitas, I.Z.2
  • 28
    • 84920062764 scopus 로고    scopus 로고
    • Burned area mapping using support vector machines and the FuzCoC feature selection method on VHR IKONOS imagery
    • E. Dragozi et al., "Burned area mapping using support vector machines and the FuzCoC feature selection method on VHR IKONOS imagery," Remote Sens 6(12), 12005-12036 (2014).
    • (2014) Remote Sens , vol.6 , Issue.12 , pp. 12005-12036
    • Dragozi, E.1
  • 29
    • 84863016325 scopus 로고    scopus 로고
    • Object-based change detection
    • G. Chen et al., "Object-based change detection," Int. J. Remote Sens. 33(14), 4434-4457 (2012).
    • (2012) Int. J. Remote Sens , vol.33 , Issue.14 , pp. 4434-4457
    • Chen, G.1
  • 30
    • 84876726723 scopus 로고    scopus 로고
    • Change detection from remotely sensed images: From pixel-based to object-based approaches
    • M. Hussain et al., "Change detection from remotely sensed images: from pixel-based to object-based approaches," ISPRS J. Photogramm. Remote Sens. 80, 91-106 (2013).
    • (2013) ISPRS J. Photogramm. Remote Sens , vol.80 , pp. 91-106
    • Hussain, M.1
  • 31
    • 82455162393 scopus 로고    scopus 로고
    • Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey)
    • B. Aksoy and M. Ercanoglu, "Landslide identification and classification by object-based image analysis and fuzzy logic: an example from the Azdavay region (Kastamonu, Turkey)," Comput. Geosci. 38(1), 87-98 (2012).
    • (2012) Comput. Geosci , vol.38 , Issue.1 , pp. 87-98
    • Aksoy, B.1    Ercanoglu, M.2
  • 32
    • 84937898139 scopus 로고    scopus 로고
    • Automatic case-based reasoning approach for landslide detection: Integration of object-oriented image analysis and a genetic algorithm
    • J. Dou et al., "Automatic case-based reasoning approach for landslide detection: integration of object-oriented image analysis and a genetic algorithm," Remote Sens. 7(4), 4318-4342 (2015).
    • (2015) Remote Sens , vol.7 , Issue.4 , pp. 4318-4342
    • Dou, J.1
  • 33
    • 78650400955 scopus 로고    scopus 로고
    • Comparison of object-based and pixel-based infrared airborne image classification methods using DEM thematic layer
    • A. Dehvari and R. J. Heck, "Comparison of object-based and pixel-based infrared airborne image classification methods using DEM thematic layer," J. Geog. Reg. Plann. 2(4), 86-96 (2009).
    • (2009) J. Geog. Reg. Plann , vol.2 , Issue.4 , pp. 86-96
    • Dehvari, A.1    Heck, R.J.2
  • 34
    • 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
    • D. C. Duro et al., "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 Sens. Environ. 118, 259-272 (2012).
    • (2012) Remote Sens. Environ , vol.118 , pp. 259-272
    • Duro, D.C.1
  • 35
    • 84890209110 scopus 로고    scopus 로고
    • Geographic object-based image analysis-towards a new paradigm
    • T. Blaschke et al., "Geographic object-based image analysis-towards a new paradigm," ISPRS J. Photogramm. Remote Sens. 87, 180-191 (2014).
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.87 , pp. 180-191
    • Blaschke, T.1
  • 36
    • 41949100170 scopus 로고    scopus 로고
    • Image segmentation evaluation: A survey of unsupervised methods
    • H. Zhang, J. E. Fritts, and S. A. Goldman, "Image segmentation evaluation: a survey of unsupervised methods," Comput. Vision Image Understanding 110(2), 260-280 (2008).
    • (2008) Comput. Vision Image Understanding , vol.110 , Issue.2 , pp. 260-280
    • Zhang, H.1    Fritts, J.E.2    Goldman, S.A.3
  • 37
    • 84896962668 scopus 로고    scopus 로고
    • Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)
    • C. Witharana and D. L. Civco, "Optimizing multi-resolution segmentation scale using empirical methods: exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)," ISPRS J. Photogramm. Remote Sens. 87, 108-121 (2014).
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.87 , pp. 108-121
    • Witharana, C.1    Civco, D.L.2
  • 38
    • 28544434203 scopus 로고    scopus 로고
    • An automated object-based approach for the multiscale image segmentation of forest scenes
    • G. J. Hay et al., "An automated object-based approach for the multiscale image segmentation of forest scenes," Int. J. Appl. Earth Obs. Geoinf. 7(4), 339-359 (2005).
    • (2005) Int. J. Appl. Earth Obs. Geoinf , vol.7 , Issue.4 , pp. 339-359
    • Hay, G.J.1
  • 39
    • 84879590467 scopus 로고    scopus 로고
    • Advances in geographic object-based image analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective
    • D. Arvor et al., "Advances in geographic object-based image analysis with ontologies: a review of main contributions and limitations from a remote sensing perspective," ISPRS J. Photogramm. Remote Sens. 82, 125-137 (2013).
    • (2013) ISPRS J. Photogramm. Remote Sens , vol.82 , pp. 125-137
    • Arvor, D.1
  • 40
    • 79957608758 scopus 로고    scopus 로고
    • Multi-scale GEOBIAwith very high spatial resolution digital aerial imagery: Scale, texture and image objects
    • M. Kim et al., "Multi-scale GEOBIAwith very high spatial resolution digital aerial imagery: scale, texture and image objects," Int. J. Remote Sens. 32(10), 2825-2850 (2011).
    • (2011) Int. J. Remote Sens , vol.32 , Issue.10 , pp. 2825-2850
    • Kim, M.1
  • 41
    • 83655183741 scopus 로고    scopus 로고
    • Detecting an optimal scale parameter in object-oriented classification
    • S. H. Lowe and X. Guo, "Detecting an optimal scale parameter in object-oriented classification," IEEE J. Sel. Top. Appl. 4(4), 890-895 (2011).
    • (2011) IEEE J. Sel. Top. Appl , vol.4 , Issue.4 , pp. 890-895
    • Lowe, S.H.1    Guo, X.2
  • 42
    • 84864088464 scopus 로고    scopus 로고
    • Object-oriented classification of land use/cover using digital aerial orthophotography
    • C. Li and G. Shao, "Object-oriented classification of land use/cover using digital aerial orthophotography," Int. J. Remote Sens. 33(4), 922-938 (2012).
    • (2012) Int. J. Remote Sens , vol.33 , Issue.4 , pp. 922-938
    • Li, C.1    Shao, G.2
  • 43
    • 28544451754 scopus 로고    scopus 로고
    • Multiscale object-specific analysis (MOSA): An integrative approach for multiscale landscape analysis
    • S. M. de Jong and F. D. van der Meer, Eds. , Kluwer Academic Publishers, Dordrecht
    • G. J. Hay and D. J. Marceau, "Multiscale object-specific analysis (MOSA): an integrative approach for multiscale landscape analysis," Chapter 3 in Remote Sensing and Digital Image Analysis: Including the Spatial Domain, S. M. de Jong and F. D. van der Meer, Eds., pp. 71-92, Kluwer Academic Publishers, Dordrecht (2004).
    • (2004) Chapter 3 in Remote Sensing and Digital Image Analysis: Including the Spatial Domain , pp. 71-92
    • Hay, G.J.1    Marceau, D.J.2
  • 44
    • 0001812168 scopus 로고    scopus 로고
    • Multi-resolution segmentation: An optimization approach for high quality multi-scale image segmentation
    • J. Strobl, T. Blaschke, and G. Griesebner, Eds. , Wichmann-Verlag, Heidelberg
    • M. Baatz and A. Schäpe, "Multi-resolution segmentation: an optimization approach for high quality multi-scale image segmentation," in Angewandte Geographische Informations Verarbeitung XII, J. Strobl, T. Blaschke, and G. Griesebner, Eds., pp. 12-23, Wichmann-Verlag, Heidelberg (2000).
    • (2000) Angewandte Geographische Informations Verarbeitung XII , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 45
    • 84869016668 scopus 로고    scopus 로고
    • MSEG: A generic region-based multi-scale image segmentation algorithm for remote sensing imagery
    • A. Tzotsos and D. Argialas, "MSEG: a generic region-based multi-scale image segmentation algorithm for remote sensing imagery," in Proc. of ASPRS 2006 Annual Conf., Reno, Nevada (2006).
    • (2006) Proc. of ASPRS 2006 Annual Conf., Reno, Nevada
    • Tzotsos, A.1    Argialas, D.2
  • 46
    • 84867065053 scopus 로고    scopus 로고
    • Multiscale classification of remote sensing Images
    • J. A. Dos Santos et al., "Multiscale classification of remote sensing Images," IEEE Trans. Geosci. Remote Sens. 50(10), 3764-3775 (2012).
    • (2012) IEEE Trans. Geosci. Remote Sens , vol.50 , Issue.10 , pp. 3764-3775
    • Dos Santos, J.A.1
  • 47
    • 84920531772 scopus 로고    scopus 로고
    • Hierarchical segmentation framework for identifying natural vegetation: A case study of the Tehachapi Mountains, California
    • Y. T. Liau, "Hierarchical segmentation framework for identifying natural vegetation: a case study of the Tehachapi Mountains, California," Remote Sens. 6(8), 7276-7302 (2014).
    • (2014) Remote Sens , vol.6 , Issue.8 , pp. 7276-7302
    • Liau, Y.T.1
  • 49
    • 77955527583 scopus 로고    scopus 로고
    • A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping
    • G. P. Petropoulos et al., "A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping," Sensors 10(3), 1967-1985 (2010).
    • (2010) Sensors , vol.10 , Issue.3 , pp. 1967-1985
    • Petropoulos, G.P.1
  • 50
    • 84872347823 scopus 로고    scopus 로고
    • GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environment
    • M. A. Aguilar, M. M. Saldana, and F. J. Aguilar, "GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environment," Int. J. Remote Sens. 34(7), 2583-2606 (2013).
    • (2013) Int. J. Remote Sens , vol.34 , Issue.7 , pp. 2583-2606
    • Aguilar, M.A.1    Saldana, M.M.2    Aguilar, F.J.3
  • 51
    • 80052153041 scopus 로고    scopus 로고
    • Enhanced evaluation of image segmentation results
    • P. R. Marpu et al., "Enhanced evaluation of image segmentation results," J. Spat. Sci. 55(1), 55-68 (2010).
    • (2010) J. Spat. Sci , vol.55 , Issue.1 , pp. 55-68
    • Marpu, P.R.1
  • 54
    • 84922357427 scopus 로고    scopus 로고
    • Training set size, scale, and features in geographic object-based image analysis of very high resolution unmanned aerial vehicle imagery
    • L. Ma, "Training set size, scale, and features in geographic object-based image analysis of very high resolution unmanned aerial vehicle imagery," ISPRS J. Photogramm. Remote Sens. 102, 14-27 (2015).
    • (2015) ISPRS J. Photogramm. Remote Sens , vol.102 , pp. 14-27
    • Ma, L.1
  • 55
    • 33747105856 scopus 로고    scopus 로고
    • Parameter selection for region-growing image segmentation algorithms using spatial autocorrelation
    • G. M. Espindola et al., "Parameter selection for region-growing image segmentation algorithms using spatial autocorrelation," Int. J. Remote Sens. 27(14), 3035-3040 (2006).
    • (2006) Int. J. Remote Sens , vol.27 , Issue.14 , pp. 3035-3040
    • Espindola, G.M.1
  • 56
    • 84908070467 scopus 로고    scopus 로고
    • Optimal segmentation of a high-resolution remote-sensing image guided by area and boundary
    • J. Chen et al., "Optimal segmentation of a high-resolution remote-sensing image guided by area and boundary," Int. J. Remote Sens. 35(19), 6914-6939 (2014).
    • (2014) Int. J. Remote Sens , vol.35 , Issue.19 , pp. 6914-6939
    • Chen, J.1
  • 57
    • 84891136260 scopus 로고    scopus 로고
    • Automated parameterisation for multi-scale image segmentation on multiple layers
    • L. Dr?gut et al., "Automated parameterisation for multi-scale image segmentation on multiple layers," ISPRS J. Photogramm. Remote Sens. 88, 119-127 (2014).
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.88 , pp. 119-127
    • Drgut, L.1
  • 58
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised image segmentation evaluation and refinement using a multi-scale approach
    • B. Johnson and Z. Xie, "Unsupervised image segmentation evaluation and refinement using a multi-scale approach," ISPRS J. Photogramm. Remote Sens. 66, 473-483 (2011).
    • (2011) ISPRS J. Photogramm. Remote Sens , vol.66 , pp. 473-483
    • Johnson, B.1    Xie, Z.2
  • 59
    • 0000565591 scopus 로고
    • A computer movie simulating urban growth in the Detroit region
    • W. R. Tobler, "A computer movie simulating urban growth in the Detroit region," Econ. Geog. 46, 234-240 (1970).
    • (1970) Econ. Geog , vol.46 , pp. 234-240
    • Tobler, W.R.1
  • 61
    • 84979944094 scopus 로고    scopus 로고
    • Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
    • Springer, New York , T. Blaschke, S. Lang, and G. J. Hay, Eds
    • M. Kim, M. Madden, and T. Warner, "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, T. Blaschke, S. Lang, and G. J. Hay, Eds., pp. 291-307, Springer, New York (2008).
    • (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
  • 62
    • 0023163644 scopus 로고
    • The factor of scale in remote sensing
    • C. E. Woodcock and A. H. Strahler, "The factor of scale in remote sensing," Remote Sens. Environ. 21, 311-332 (1987).
    • (1987) Remote Sens. Environ , vol.21 , pp. 311-332
    • Woodcock, C.E.1    Strahler, A.H.2
  • 63
    • 63849152745 scopus 로고    scopus 로고
    • Scale issues in remote sensing: A review on analysis, processing and modeling
    • H. Wu and Z. L. Li, "Scale issues in remote sensing: a review on analysis, processing and modeling," Sensors 9(3), 1768-1793 (2009).
    • (2009) Sensors , vol.9 , Issue.3 , pp. 1768-1793
    • Wu, H.1    Li, Z.L.2
  • 64
    • 79956136086 scopus 로고    scopus 로고
    • Local variance for multi-scale analysis in geomorphometry
    • L. Dr?gut, C. Eisank, and T. Strasser, "Local variance for multi-scale analysis in geomorphometry," Geomorphology 130(3-4), 162-172 (2011).
    • (2011) Geomorphology , vol.130 , Issue.3-4 , pp. 162-172
    • Drgut, L.1    Eisank, C.2    Strasser, T.3
  • 66
    • 84901649289 scopus 로고    scopus 로고
    • A novel method for assessing the segmentation quality of high-spatial resolution remote sensing images
    • J. Cheng et al., "A novel method for assessing the segmentation quality of high-spatial resolution remote sensing images," Int. J. Remote Sens. 35(10), 3816-3839 (2014).
    • (2014) Int. J. Remote Sens , vol.35 , Issue.10 , pp. 3816-3839
    • Cheng, J.1
  • 68
    • 0036875711 scopus 로고    scopus 로고
    • Existential uncertainty of spatial objects segmented from satellite sensor imagery
    • A. Lucieer and A. Stein, "Existential uncertainty of spatial objects segmented from satellite sensor imagery," IEEE Trans. Geosci. Remote Sens. 40(11), 2518-2521 (2002).
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , Issue.11 , pp. 2518-2521
    • Lucieer, A.1    Stein, A.2
  • 69
    • 0034279105 scopus 로고    scopus 로고
    • Location similarity of regions
    • S. Winter, "Location similarity of regions," ISPRS J. Photogrammetry Remote Sens. 55(3), 189-200 (2000).
    • (2000) ISPRS J. Photogrammetry Remote Sens , vol.55 , Issue.3 , pp. 189-200
    • Winter, S.1
  • 70
    • 77949838817 scopus 로고    scopus 로고
    • Accuracy assessment measures for object-based image segmentation goodness
    • N. Clinton et al., "Accuracy assessment measures for object-based image segmentation goodness," Photogramm. Eng. Remote Sens. 76(3), 289-299 (2010).
    • (2010) Photogramm. Eng. Remote Sens , vol.76 , Issue.3 , pp. 289-299
    • Clinton, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.