Strategies Combining Spectral Angle Mapper and Change Vector Analysis to Unsupervised Change Detection in Multispectral Images.
IEEE Geoscience and Remote Sensing Letters(2016)
摘要
Change vector analysis (CVA) has been widely used in change detection of multitemporal multispectral images, whereas the use of a spectral angle mapper (SAM) is always ignored. CVA and SAM describe the difference from the perspective of vector magnitude and direction, respectively. Combining CVA and SAM can fully utilize the spectral vector and obtain a better change map. In this context, two stra...
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关键词
Entropy,Remote sensing,Feature extraction,Gaussian distribution,Transforms,Context,Hybrid power systems
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