A Method for Water Body Adaptive Extraction from Remote Sensing Imagery Based on Local End Member Spectral Characterization
ZHANG Xin1, ZHU Chang-ming2, LUO Jian-cheng1, LI Wan-qing3, YANG Ji-wei3
1. Institute of Remote Sensing Applications, Chinese Academy of Sciences，Beijing 100101，China 2. Department of Geography and Environment，Jiangsu Normal University，Xuzhou 221116，China 3. Heibei University of Enginnering, Handan 056038，China
Abstract：Precise spectral characterization is fundamental for thematic information extraction. Because different types of water have different spectral features, which result in the difficulty of automatic retrieving water information precisely from the whole film. The present paper explored a new approach to water adaptive extraction based on local end member spectral characterization (LESC). Firstly, through the spectral index calculation the primary water identification was achieved. Secondly, through spatial analysis and automatic end member extraction, we can get the water end member in part of region. Thirdly, according to the end member spectral, we can calculate local end member spectral similarity and histogram of similarity. Finally，through the histogram spectral analysis the optimal segmentation threshold was determined and according to the results the segmentation threshold was adjusted to fulfill water information extracting automatically and accurately. Experiments results show that through local end member spectral characterization the precision of extraction result can be promoted. The proposed method can extract all types of water information precisely and is not affected by different spectral feature.
张 新1，朱长明2，骆剑承1，李万庆3，杨纪伟3 . 基于局部端元光谱表征的地表水体遥感自适应提取 [J]. 光谱学与光谱分析, 2013, 33(06): 1670-1677.
ZHANG Xin1, ZHU Chang-ming2, LUO Jian-cheng1, LI Wan-qing3, YANG Ji-wei3 . A Method for Water Body Adaptive Extraction from Remote Sensing Imagery Based on Local End Member Spectral Characterization. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1670-1677.
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