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REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (1) : 19-23     DOI: 10.6046/gtzyyg.2010.01.03
Review |
New Progress in the Classification of High Spatial Resolution Satellite Images for LUCC
 BAI Mu, LIU Hui-Ping, QIAO Yu, WANG Xiao-Dong
School of Geography, Beijing Normal University, Beijing 100875,China
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Abstract  

The application of high spatial resolution remote sensing images to the study of LUCC has promoted the further

development of remote sensing classification techniques in three aspects, namely classification object, classification features

and classifiers. This paper gives a review of the new progress, describes the representative methods, analyzes characteristics of

various methods, and summarizes the progress in the study of remote sensing classification.

Keywords Vegetation spectrum      Character analysis      Factors affecting spectrum     
Issue Date: 22 March 2010
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BAI Mu, LIU Hui-Ping, QIAO Yu, WANG Xiao-Dong. New Progress in the Classification of High Spatial Resolution Satellite Images for LUCC[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(1): 19-23.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.01.03     OR     https://www.gtzyyg.com/EN/Y2010/V22/I1/19
[1] WAN Yu-qing, YAN Yong-zhong, ZHANG Feng-li . ANALYSE TO SPECTRAL CHARACTER OF THE VEGETATION ALONG YANHE RIVER[J]. REMOTE SENSING FOR LAND & RESOURCES, 2001, 13(3): 15-20.
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