Evaluation on the two filling functions for the recovery of forest information in mountainous shadows on Landsat ETM + Image |
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Authors: | Amir reza Shahtahmassebi Ke Wang Zhangquan Shen Jinsong Deng Wenjuan Zhu Ning Han Fengfang Lin Nathan Moore |
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Institution: | SHAHTAHMASSEBI Amir reza 1,2,WANG Ke 1,SHEN Zhangquan 1,DENG Jinsong 1,ZHU Wenjuan 1,HAN Ning 1,LIN Fengfang 1,MOORE Nathan 1,3 1 Institute of Agriculture Remote Sensing and Information Technology,Zhejiang University,Hangzhou 310029,China 2 Key Laboratory of Agricultural Remote Sensing and Information System of Zhejiang Province,China 3 Department of Geography,Michigan State University,East Lansing,MI,48823,USA |
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Abstract: | In general,topographic shadow may reduce performance of forest mapping over mountainous regions in remotely sensed images.In this paper,information in shadow was synthesized by using two filling techniques,namely,roifill and imfill,in order to improve the accuracy of forest mapping over mountainous regions.These two methods were applied to Landsat Enhanced Thematic Mapper (ETM +) multispectral image from Dong Yang County,Zhejiang Province,China.The performance of these methods was compared with two conventi... |
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Keywords: | Shadow Imfill Roifill Landsat ETM |
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