Adaptive causal anomaly detection for hyperspectral imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 5, Issue , 2004, Pages 3222-3224

  Hsueh, Mingkai ^a   Chang, Chein I ^a  

^a University of Marylandw Baltimore County   (United States)

Author keywords

Adaptive Causal Anomaly Detector (ACAD); Anomaly Detection; Causal RX filter (CRXF); RX algorithm

Indexed keywords

ADAPTIVE CAUSAL ANOMALY DETECTOR (ACAD); ANOMALY DETECTIONS; CAUSAL RX FILTERS (CRXF); HYPERSPECTRAL IMAGERY; RX ALGORITHMS;

ALGORITHMS; COMPUTER SIMULATION; CORRELATION METHODS; DATA ACQUISITION; DETECTORS; GAUSSIAN NOISE (ELECTRONIC); IMAGE ANALYSIS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; REAL TIME SYSTEMS; REMOTE SENSING; SIGNAL TO NOISE RATIO; VECTORS; WAVE FILTERS;

IMAGE PROCESSING;

EID: 15944384621     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 ASSP., vol. 38, no. 10, pp. 1760-1770, Oct. 1990.
2. C.-I Chang and S.-S. Chiang, "Anomaly detection and classification for hyperspectral imagery," IEEE Trans. on Geoscience and Remote Sensing, vol. 40, no. 6, pp. 1314-1325, June 2002.
3. C.-I Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer Academic/Plenum Publishers, 2003.