메뉴 건너뛰기




Volumn 34, Issue 7, 2013, Pages 2583-2606

GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments

Author keywords

[No Author keywords available]

Indexed keywords

BINARY ALLOYS; IMAGE CLASSIFICATION; INFRARED DEVICES; OPTICAL RADAR; REMOTE SENSING; SAMPLING; SATELLITES; URBAN PLANNING;

EID: 84872347823     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.747018     Document Type: Article
Times cited : (113)

References (59)
  • 1
    • 34547600503 scopus 로고    scopus 로고
    • The Importance of Scale in Object-Based Mapping of Vegetation Parameters with Hyperspectral Imagery
    • Addink, E. A., de Jong, S. M. and Pebesma, E. J. 2007. The Importance of Scale in Object-Based Mapping of Vegetation Parameters with Hyperspectral Imagery. Photogrammetric Engineering and Remote Sensing, 73: 905-12.
    • (2007) Photogrammetric Engineering and Remote Sensing , vol.73 , pp. 905-912
    • Addink, E.A.1    de Jong, S.M.2    Pebesma, E.J.3
  • 7
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution Segmentation - An Optimization Approach for High Quality Multi-Scale Image Segmentation
    • In: Strobl J., Blaschke T., Griesebner G., editors Karlsruhe, Karlsruhe,: Wichmann Verlag
    • Baatz, M. and Schäpe, M. 2000. "Multiresolution Segmentation-An Optimization Approach for High Quality Multi-Scale Image Segmentation.". In Angewandte Geographische Informations-Verarbeitung XII, Edited by: Strobl, J., Blaschke, T. and Griesebner, G. 12-23. Karlsruhe: Wichmann Verlag.
    • (2000) Angewandte Geographische Informations-Verarbeitung XII , pp. 12-23
    • Baatz, M.1    Schäpe, M.2
  • 8
    • 0029273845 scopus 로고
    • An Investigation of the Textural Characteristics Associated with Gray Level Cooccurrence Matrix Statistical Parameters
    • Baraldi, A. and Panniggiani, F. 1995. An Investigation of the Textural Characteristics Associated with Gray Level Cooccurrence Matrix Statistical Parameters. IEEE Transactions on Geoscience and Remote Sensing, 33: 293-304.
    • (1995) IEEE Transactions on Geoscience and Remote Sensing , vol.33 , pp. 293-304
    • Baraldi, A.1    Panniggiani, F.2
  • 9
    • 77956637110 scopus 로고    scopus 로고
    • Per-Pixel and Object-Oriented Classification Methods for Mapping Urban Features Using Ikonos Satellite Data
    • Bhaskaran, S., Paramananda, S. and Ramnarayan, M. 2010. Per-Pixel and Object-Oriented Classification Methods for Mapping Urban Features Using Ikonos Satellite Data. Applied Geography, 30: 650-65.
    • (2010) Applied Geography , vol.30 , pp. 650-665
    • Bhaskaran, S.1    Paramananda, S.2    Ramnarayan, M.3
  • 11
    • 33744810940 scopus 로고    scopus 로고
    • Urban Land Cover Multi-Level Region-Based Classification of VHR Data by Selecting Relevant Features
    • Carleer, A. P. and Wolff, E. 2006. Urban Land Cover Multi-Level Region-Based Classification of VHR Data by Selecting Relevant Features. International Journal of Remote Sensing, 27: 1035-51.
    • (2006) International Journal of Remote Sensing , vol.27 , pp. 1035-1051
    • Carleer, A.P.1    Wolff, E.2
  • 13
    • 44649165024 scopus 로고    scopus 로고
    • Statistical Pattern Recognition in Remote Sensing
    • Chen, C. H. and Ho, P. G. P. 2008. Statistical Pattern Recognition in Remote Sensing. Pattern Recognition, 41: 2731-41.
    • (2008) Pattern Recognition , vol.41 , pp. 2731-2741
    • Chen, C.H.1    Ho, P.G.P.2
  • 14
    • 0026278621 scopus 로고
    • A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data
    • Congalton, R. G. 1991. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, 37: 35-46.
    • (1991) Remote Sensing of Environment , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 16
    • 0343021371 scopus 로고
    • Segmentation by Means of Textural Analysis
    • Cossu, R. 1988. Segmentation by Means of Textural Analysis. Pixel, 1: 21-4.
    • (1988) Pixel , vol.1 , pp. 21-24
    • Cossu, R.1
  • 17
    • 13444278773 scopus 로고    scopus 로고
    • Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas
    • Dare, P. M. 2005. Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas. Photogrammetric Engineering and Remote Sensing, 71: 169-77.
    • (2005) Photogrammetric Engineering and Remote Sensing , vol.71 , pp. 169-177
    • Dare, P.M.1
  • 20
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data
    • Drǎguţ, L., Tiede, D. and Levick, S. R. 2010. ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data. International Journal of Geographical Information Science, 24: 859-71.
    • (2010) International Journal of Geographical Information Science , vol.24 , pp. 859-871
    • Drǎguţ, L.1    Tiede, D.2    Levick, S.R.3
  • 21
    • 0033372875 scopus 로고    scopus 로고
    • The Significance of Border Training Patterns in Classification by a Feedforward Neural Network Using Backpropagation Learning
    • Foody, G. M. 1999. The Significance of Border Training Patterns in Classification by a Feedforward Neural Network Using Backpropagation Learning. International Journal of Remote Sensing, 20: 3549-62.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 3549-3562
    • Foody, G.M.1
  • 22
    • 3042654673 scopus 로고    scopus 로고
    • A Relative Evaluation of Multiclass Image Classification by Support Vector Machines
    • Foody, G. M. and Mathur, A. 2004. A Relative Evaluation of Multiclass Image Classification by Support Vector Machines. IEEE Transactions on Geoscience and Remote Sensing, 42: 1335-43.
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , pp. 1335-1343
    • Foody, G.M.1    Mathur, A.2
  • 23
    • 33745756516 scopus 로고    scopus 로고
    • The Use of Small Training Sets Containing Mixed Pixels for Accurate Hard Image Classification: Training on Mixed Spectral Responses for Classification by a SVM
    • Foody, G. M. and Mathur, A. 2006. The Use of Small Training Sets Containing Mixed Pixels for Accurate Hard Image Classification: Training on Mixed Spectral Responses for Classification by a SVM. Remote Sensing of Environment, 103: 179-89.
    • (2006) Remote Sensing of Environment , vol.103 , pp. 179-189
    • Foody, G.M.1    Mathur, A.2
  • 24
    • 79957668338 scopus 로고    scopus 로고
    • Classification Based Building Detection from GeoEye-1 Images
    • edited by U. Stilla, P. Gamba, C. Juergens, and D. Maktav, 381-4. Munich: IEEE. doi:10.1109/JURSE.2011.5764799
    • Grigillo, D. and Fras, M. 2011. "Classification Based Building Detection from GeoEye-1 Images". In Joint Urban Remote Sensing Event (JURSE 2011), edited by U. Stilla, P. Gamba, C. Juergens, and D. Maktav, 381-4. Munich: IEEE. doi:10.1109/JURSE.2011.5764799
    • (2011) Joint Urban Remote Sensing Event (JURSE 2011),
    • Grigillo, D.1    Fras, M.2
  • 27
    • 80052653912 scopus 로고    scopus 로고
    • Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data
    • Hermosilla, T., Ruiz, L. A., Recio, J. A. and Estornell, J. 2011. Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data. Remote Sensing, 3: 1188-210.
    • (2011) Remote Sensing , vol.3 , pp. 1188-1210
    • Hermosilla, T.1    Ruiz, L.A.2    Recio, J.A.3    Estornell, J.4
  • 28
    • 80053936799 scopus 로고    scopus 로고
    • Building Extraction and Rubble Mapping for City Port-Au-Prince Post-2010 Earthquake with GeoEye-1 Imagery and Lidar Data
    • Hussain, E., Ural, S., Kim, K., Fu, C. and Shan, J. 2011. Building Extraction and Rubble Mapping for City Port-Au-Prince Post-2010 Earthquake with GeoEye-1 Imagery and Lidar Data. Photogrammetric Engineering and Remote Sensing, 77: 1011-23.
    • (2011) Photogrammetric Engineering and Remote Sensing , vol.77 , pp. 1011-1023
    • Hussain, E.1    Ural, S.2    Kim, K.3    Fu, C.4    Shan, J.5
  • 29
    • 37249089673 scopus 로고    scopus 로고
    • Object-Based Change Detection Using Correlation Image Analysis and Image Segmentation
    • Im, J., Jensen, J. R. and Tullis, J. A. 2008. Object-Based Change Detection Using Correlation Image Analysis and Image Segmentation. International Journal of Remote Sensing, 29: 399-423.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 399-423
    • Im, J.1    Jensen, J.R.2    Tullis, J.A.3
  • 31
    • 79955383550 scopus 로고    scopus 로고
    • Assessing Object-Based Classification: Advantages and Limitations
    • Liu, D. and Xia, F. 2010. Assessing Object-Based Classification: Advantages and Limitations. Remote Sensing Letters, 1: 187-94.
    • (2010) Remote Sensing Letters , vol.1 , pp. 187-194
    • Liu, D.1    Xia, F.2
  • 33
    • 80052461389 scopus 로고    scopus 로고
    • Land Cover Classification in a Complex Urban-Rural Landscape with QuickBird Imagery
    • Lu, D., Hetrick, S. and Moran, E. 2010. Land Cover Classification in a Complex Urban-Rural Landscape with QuickBird Imagery. Photogrammetric Engineering and Remote Sensing, 76: 1159-68.
    • (2010) Photogrammetric Engineering and Remote Sensing , vol.76 , pp. 1159-1168
    • Lu, D.1    Hetrick, S.2    Moran, E.3
  • 34
    • 78650880626 scopus 로고    scopus 로고
    • On the Relative Predictive Value of the New Spectral Bands in the WorldView-2 Sensor
    • July 25-30, July 25-30, Honolulu, HI, Honolulu, HI,: IEEE
    • Marchisio, G., Pacifici, F. and Padwick, C. July 25-30 2010. "On the Relative Predictive Value of the New Spectral Bands in the WorldView-2 Sensor.". In Proceedings of IEEE International Geoscience and Remote Sensing Symposium, July 25-30, Honolulu, HI: IEEE. doi:10.1109/IGARSS.2010.5649771
    • (2010) Proceedings of IEEE International Geoscience and Remote Sensing Symposium
    • Marchisio, G.1    Pacifici, F.2    Padwick, C.3
  • 38
    • 36849090769 scopus 로고    scopus 로고
    • Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas
    • Mathieu, R., Aryal, J. and Chong, A. K. 2007. Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas. Sensors, 7: 2860-80.
    • (2007) Sensors , vol.7 , pp. 2860-2880
    • Mathieu, R.1    Aryal, J.2    Chong, A.K.3
  • 39
    • 4344614511 scopus 로고    scopus 로고
    • Classification of Hyperspectral Remote Sensing Images with Support Vector Machines
    • Melgani, F. and Bruzzone, L. 2004. Classification of Hyperspectral Remote Sensing Images with Support Vector Machines.". IEEE Transactions on Geoscience and Remote Sensing, 42: 1778-90.
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 40
    • 79952070569 scopus 로고    scopus 로고
    • Per-Pixel vs. Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery
    • Myint, S. W., Gober, P., Brazel, A., Grossman-Clarke, S. and Weng, Q. 2011. Per-Pixel vs. Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery. Remote Sensing of Environment, 115: 1145-61.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 1145-1161
    • Myint, S.W.1    Gober, P.2    Brazel, A.3    Grossman-Clarke, S.4    Weng, Q.5
  • 41
    • 0027067290 scopus 로고
    • Variability and Bias in Experimentally Measured Classifier Error Rates
    • Piper, J. 1992. Variability and Bias in Experimentally Measured Classifier Error Rates. Pattern Recognition Letters, 13: 685-92.
    • (1992) Pattern Recognition Letters , vol.13 , pp. 685-692
    • Piper, J.1
  • 42
    • 38549177512 scopus 로고    scopus 로고
    • An Evaluation of an Object-Oriented Paradigm for Land Use/Land Cover Classification
    • Platt, R. V. and Rapoza, L. 2008. An Evaluation of an Object-Oriented Paradigm for Land Use/Land Cover Classification. The Professional Geographer, 60: 87-100.
    • (2008) The Professional Geographer , vol.60 , pp. 87-100
    • Platt, R.V.1    Rapoza, L.2
  • 44
    • 79960061887 scopus 로고    scopus 로고
    • Object-Based Urban Detailed Land Cover Classification with High Spatial Resolution IKONOS Imagery
    • Pu, R., Landry, S. and Yu, Q. 2011. Object-Based Urban Detailed Land Cover Classification with High Spatial Resolution IKONOS Imagery. International Journal of Remote Sensing, 32: 3285-308.
    • (2011) International Journal of Remote Sensing , vol.32 , pp. 3285-3308
    • Pu, R.1    Landry, S.2    Yu, Q.3
  • 45
    • 1042268376 scopus 로고    scopus 로고
    • Extending Satellite Remote Sensing to Local Scales: Land and Water Resource Management Using High Resolution Imagery
    • Sawaya, K., Olmanson, L., Holden, G., Sieracki, J., Heinert, N. and Bauer, M. 2003. Extending Satellite Remote Sensing to Local Scales: Land and Water Resource Management Using High Resolution Imagery. Remote Sensing of Environment, 88: 143-55.
    • (2003) Remote Sensing of Environment , vol.88 , pp. 143-155
    • Sawaya, K.1    Olmanson, L.2    Holden, G.3    Sieracki, J.4    Heinert, N.5    Bauer, M.6
  • 46
    • 0242292075 scopus 로고    scopus 로고
    • A Combined Fuzzy Pixel-Based and Object-Based Approach for Classification of High-Resolution Multispectral Data over Urban Areas
    • Shackelford, A. K. and Davis, C. H. 2003. A Combined Fuzzy Pixel-Based and Object-Based Approach for Classification of High-Resolution Multispectral Data over Urban Areas. IEEE Transactions on Geoscience and Remote Sensing, 41: 2167-89.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , pp. 2167-2189
    • Shackelford, A.K.1    Davis, C.H.2
  • 48
    • 33745081013 scopus 로고    scopus 로고
    • A Competitive Pixel-Object Approach for Land Cover Classification
    • Song, M., Civco, D. and Hurd, J. 2005. A Competitive Pixel-Object Approach for Land Cover Classification. International Journal of Remote Sensing, 26: 4981-97.
    • (2005) International Journal of Remote Sensing , vol.26 , pp. 4981-4997
    • Song, M.1    Civco, D.2    Hurd, J.3
  • 49
    • 79960743609 scopus 로고    scopus 로고
    • Object-Oriented Mapping of Landslides Using Random Forests
    • Stumpf, A. and Kerle, N. 2011. Object-Oriented Mapping of Landslides Using Random Forests. Remote Sensing of Environment, 115: 2564-77.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 2564-2577
    • Stumpf, A.1    Kerle, N.2
  • 50
    • 46249127021 scopus 로고    scopus 로고
    • Textural and Local Spatial Statistics for the Object-Oriented Classification of Urban Areas Using High Resolution Imagery
    • Su, W., Li, J., Chen, Y., Liu, Z., Zhang, J., Low, T. M., Inbaraj, S. and Siti, A. M. H. 2008. Textural and Local Spatial Statistics for the Object-Oriented Classification of Urban Areas Using High Resolution Imagery. International Journal of Remote Sensing, 29: 3105-17.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 3105-3117
    • Su, W.1    Li, J.2    Chen, Y.3    Liu, Z.4    Zhang, J.5    Low, T.M.6    Inbaraj, S.7    Siti, A.M.H.8
  • 51
    • 80955148253 scopus 로고    scopus 로고
    • Land Cover Identification for Finding Hazelnut Fields Using WorldView-2 Imagery
    • Proceedings of IEEE International Geoscience and Remote Sensing Symposium, July, Vancouver, Vancouver, Vancouver,: IEEE
    • Taşdemir, K. and Reis, S. 2011. Land Cover Identification for Finding Hazelnut Fields Using WorldView-2 Imagery. Proceedings of IEEE International Geoscience and Remote Sensing Symposium. July2011, Vancouver. pp.24-29. Vancouver: IEEE. doi:10.1109/IGARSS.2011.6048922
    • (2011) , pp. 24-29
    • Taşdemir, K.1    Reis, S.2
  • 52
    • 34748846843 scopus 로고    scopus 로고
    • Optimization in Multi-Scale Segmentation of High-Resolution Satellite Images for Artificial Feature Recognition
    • Tian, J. and Chen, D. M. 2007. Optimization in Multi-Scale Segmentation of High-Resolution Satellite Images for Artificial Feature Recognition. International Journal of Remote Sensing, 28: 4625-44.
    • (2007) International Journal of Remote Sensing , vol.28 , pp. 4625-4644
    • Tian, J.1    Chen, D.M.2
  • 53
    • 0034212991 scopus 로고    scopus 로고
    • High Spatial Resolution Remote Sensing Data for Forest Ecosystem Classification: An Examination of Spatial Scale
    • Treitz, P. and Howarth, P. J. 2000. High Spatial Resolution Remote Sensing Data for Forest Ecosystem Classification: An Examination of Spatial Scale. Remote Sensing of Environment, 72: 268-89.
    • (2000) Remote Sensing of Environment , vol.72 , pp. 268-289
    • Treitz, P.1    Howarth, P.J.2
  • 54
    • 0036477182 scopus 로고    scopus 로고
    • A Derivative-Aided Hyperspectral Image Analysis System for Land Cover Classification
    • Tsai, F. and Philpot, W. D. 2002. A Derivative-Aided Hyperspectral Image Analysis System for Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing, 40: 416-25.
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , pp. 416-425
    • Tsai, F.1    Philpot, W.D.2
  • 55
    • 84892161220 scopus 로고    scopus 로고
    • Building Detection from Pan-Sharpened Ikonos Imagery Through Support Vector Machines Classification
    • In: Kajiwara K., Muramatsu K., Soyama N., Endo T., Ono A., Akatsuka S., editors ISPRS Technical Commission VIII Symposium, Networking the World with Remote Sensing International, ISPRS Archives - Volume XXXVIII - Part 8, Kyoto, ISPRS
    • Turker, M. and San, K. 2010. Building Detection from Pan-Sharpened Ikonos Imagery Through Support Vector Machines Classification. ISPRS Technical Commission VIII Symposium, Networking the World with Remote Sensing International, ISPRS Archives - Volume XXXVIII - Part 8. 2010, Kyoto. Edited by: Kajiwara, K., Muramatsu, K., Soyama, N., Endo, T., Ono, A. and Akatsuka, S. pp.841-6. ISPRS.
    • (2010) , pp. 841-846
    • Turker, M.1    San, K.2
  • 57
    • 37549033501 scopus 로고    scopus 로고
    • Land-Cover Change and Environmental Impact Analysis in the Greater Mankato Area of Minnesota Using Remote Sensing and GIS Modeling
    • Yuan, F. 2008. Land-Cover Change and Environmental Impact Analysis in the Greater Mankato Area of Minnesota Using Remote Sensing and GIS Modeling. International Journal of Remote Sensing, 29: 1169-84.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 1169-1184
    • Yuan, F.1
  • 58
    • 15944402083 scopus 로고    scopus 로고
    • Reevaluating the Traditional Maximum NDVI Compositing Methodology: The Normalized Difference Blue Index
    • Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Anchorage, September, Alaska, Anchorage, IEEE
    • Zerbe, L. M. and Liew, S. C. 2004. Reevaluating the Traditional Maximum NDVI Compositing Methodology: The Normalized Difference Blue Index. Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Anchorage. September2004, Alaska, Anchorage. pp.20-24. IEEE. doi:10.1109/IGARSS.2004.1369774
    • (2004) , pp. 20-24
    • Zerbe, L.M.1    Liew, S.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.