Anomaly detection and classification for hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 40, Issue 6, 2002, Pages 1314-1325

  Chang, Chein I ^a,b   Chiang, Shao Shan ^a,c  

^a IEEE   (United States)

^b Baltimore County   (United States)

^c LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Anomaly detection; Bhattacharyya distance; Causal RXD (CRXD); Classification; Correlation matched filter based measure (RMFM); Low probability target detector (UTD); Mahalanobis distance; RX detector (RXD); Target discrimination measure

Indexed keywords

ANOMALY DETECTION; BHATTACHARYYA DISTANCE; HYPERSPECTRAL IMAGERY; MAHALANOBIS DISTANCE; TARGET DISCRIMINATION;

AUTOMATIC TARGET RECOGNITION; CORRELATION METHODS; IMAGE ANALYSIS; IMAGE SENSORS; REAL TIME SYSTEMS;

REMOTE SENSING;

EID: 0036613261     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2002.800280     Document Type: Article

References (25)

1. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
2. Comparative performance analysis of adaptive multispectral detectors
3. Automatic target detection and recognition in multispectral imagery: A unified ML detection and estimation approach
4. Algorithms for the detection of sub-pixel targets in multispectral imagery
5. Real-time hyperspectral detection and cuing
6. Detection and classification of subpixel spectral signatures in hyperspectral image sequences
7. Detection of subpixel spectral signatures in hyperspectral image sequences
8. Mapping the distribution of mine tailing in the coeur d'Alene river valley, Idaho, through the use of constrained energy minimization technique
9. Constrained subpixel target detection for remotely sensed imagery
10. Real-time processing algorithms for target detection and classification in hyperspectral imagery
11. Unsupervised subpixel target detection for hyperspectral images using projection pursuit
12. Linearly constrained minimum variance beam-forming for target detection and classification in hyperspectral imagery
13. Determining the number and identity of spectral endmembers: An integrated approach using Neyman-Pearson eigen-thresholding and iterative constrained RMS error minimization
14. A noise subspace projection approach to determination of intrinsic dimensionality for hyperspectral imagery
15. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection
16. An information theoretic-based approach to spectral variability, similarity and discriminability for hyperspectral image analysis
17. Discrimination measures for target classification
18. Automatic target detection and classification in hyperspectral imagery