Anomaly Detection from Hyperspectral Remote Sensing Imagery


Hyperspectral remote sensing imagery contains much more information in the spectral domain than does multispectral imagery. The consecutive and abundant spectral signals provide a great potential for classification and anomaly detection. In this study, two real hyperspectral data sets were used for anomaly detection. One data set was an Airborne Visible… (More)



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@inproceedings{Guo2016AnomalyDF, title={Anomaly Detection from Hyperspectral Remote Sensing Imagery}, author={Qiandong Guo and Ruiliang Pu and Jun Cheng}, year={2016} }