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Hyperspectral anomaly detection based on separability-aware sample cascade
Dandan Ma,
Yuan Yuan
,
Qi Wang
School of Artificial Intelligence, OPtics and Electronics
Northwestern Polytechnical University Xian
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
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Dive into the research topics of 'Hyperspectral anomaly detection based on separability-aware sample cascade'. Together they form a unique fingerprint.
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Computer Science
Anomaly Detection
100%
Anomaly-Based Detection
100%
Hyperspectral Image
66%
Detection Method
66%
Experimental Result
33%
Superior Performance
33%
Spatial Structure
33%
Detection Performance
33%
Sparse Representation
33%
Feature Extraction
33%
Detection Accuracy
33%
Background Information
33%
Distinctiveness
33%
Spectral Property
33%
Engineering
Separability
100%
Anomaly Detection
100%
Hyperspectral Image
40%
Experimental Result
20%
Feature Extraction
20%
Spatial Feature
20%
Detection Performance
20%
Spatial Structure
20%
Chemistry
Hyperspectral Imaging
100%
Multilayer
50%