Automatic Channel Network Extraction From Remotely Sensed Images by Singularity Analysis.
IEEE Geoscience and Remote Sensing Letters(2015)
摘要
The quantitative analysis of channel networks plays an important role in river studies. To provide a quantitative representation of channel networks, we propose anew method that extracts channels from remotely sensed images and estimates their widths. Our fully automated method is based on a recently proposed multiscale singularity index that strongly responds to curvilinear structures but weakly ...
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关键词
Indexes,Remote sensing,Rivers,Channel estimation,Feature extraction,Satellites,Earth
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