Evaluating hyperspectral imaging change detection methods
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In this article, we compare three change detection methods for hyperspectral imagery and establish their sensitivity to registration mismatch. We further present metrics that enable this comparison and seek to rank the methods.
[1] James Theiler,et al. Generic target response as a measure of regression accuracy in multispectral background estimation , 2016, 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
[2] Alan P. Schaum,et al. Hyperspectral change detection and supervised matched filtering based on covariance equalization , 2004, SPIE Defense + Commercial Sensing.