A nested Spatial window-based approach to target detection for hyperspectral imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2004, Pages 266-268

  Liu, Weimin ^a   Chang, Chein I ^a  

^a University of Marylandw Baltimore County   (United States)

Author keywords

Nested Spatial Window Based Target Detection (NSWTD); RX algorithm; Target detection

Indexed keywords

NESTED SPATIAL WINDOW-BASED TARGET DETECTION (NSWTD); ORTHOGONAL PROJECTION INDEX (OPD); RX ALGORITHMS; TARGET DETECTION;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; IMAGE PROCESSING; IMAGE SENSORS; MATHEMATICAL TRANSFORMATIONS; OPTICAL RESOLVING POWER; PROBABILITY;

PATTERN RECOGNITION;

EID: 15944369640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. I.S. Reed and X. Yu, "Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution," IEEE Trans. on Acoustic, Speech and Signal Process., vol. 38, no. 10, pp. 1760-1770, 1990.
2. H. Kwon, S.Z. Der and N.M. Kasrabadi, "Adaptive anomaly detection using subspace separation for hyperspectral imagery," Optical Engineering, vol. 42, no. 11, pp. 3342-3351, Nov. 2003.
3. C.-I Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer Academic/Plenum Publishers, 2003.