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Volumn 1, Issue , 2008, Pages 874-878

An adaptive kernel method for anomaly detection in hyperspectral imagery

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE KERNELS; ADAPTIVE PARAMETER ESTIMATIONS; AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; ANOMALY DETECTIONS; ANOMALY DETECTORS; BACKGROUND CLUTTERS; FALSE-ALARM RATES; GAUSSIAN; HYPERSPECTRAL IMAGERIES; KERNEL FUNCTION PARAMETERS; KERNEL FUNCTIONS; LOW PROBABILITY OF DETECTIONS; NON-LINEAR DETECTIONS; NUMERICAL EXPERIMENTS; PARAMETERS DETERMINATIONS; RECEIVER OPERATING CHARACTERISTIC CURVES; RX DETECTORS; STANDARD DEVIATIONS;

EID: 62949235910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2008.106     Document Type: Conference Paper
Times cited : (8)

References (14)
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  • 7
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    • X. Yu, L. E. Hoff, I. S. Reed, An Mei Chen and L. B. Stotts, "Automatic target detection and recognition in multiband imagery: a unified ML detection and estimation approach," IEEE Trans. Image Process., vol. 6, pp. 143-56,01. 1997.
  • 8
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    • Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
    • H. Kwon and N. M. Nasrabadi, "Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 43, pp. 388-397, 2005.
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  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.