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...
Main Authors: | Qiandong Guo, Ruiliang Pu, Jun Cheng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-12-01
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Series: | Geosciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3263/6/4/56 |
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