Anomaly detection in hyperspectral imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4383, Issue , 2001, Pages 43-50

  Chang, C I ^a   Chiang, S S ^a   Ginsberg, I W ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Anomaly detection; Constrained energy minimization (CEM); Low probability detection (LPD); Modified RX (MRX) detector; Normalized RX (NRX) detector; RX detector; Uniform target detector (UTD)

Indexed keywords

DIGITAL SIGNAL PROCESSING; EIGENVALUES AND EIGENFUNCTIONS; IMAGING TECHNIQUES; PATTERN MATCHING; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; VECTORS; WAVE FILTERS;

ANOMALY DETECTION; HYPERSPECTRAL IMAGERY;

AUTOMATIC TARGET RECOGNITION;

EID: 0034865970     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.428250     Document Type: Article

References (10)

1. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
2. Unsupervised subpixel target detection in hyperspectral imagery
3. Subpixel spectral detection for remotely sensed images
4. Target-constrained interference-minimized approach to subpixel target detection for hyperspectral imagery
5. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection
6. Algorithms for the detection of sub-pixel targets in multispectral imagery
7. Real-time processing algorithms for target detection and classification in hyperspectral imagery