Comparison of selected features for target detection in synthetic aperture radar imagery

Digital Signal Processing: A Review Journal

Volumn 10, Issue 4, 2000, Pages 286-296

  Cooke, Tristrom ^a   Redding, Nicholas J ^b   Schroeder, Jim ^a   Zhang, Jingxin ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL SIGNAL PROCESSING; FEATURE EXTRACTION; RADAR CLUTTER; RADAR TARGET RECOGNITION; SYNTHETIC APERTURE RADAR;

AUTOMATIC TARGET DETECTION (ATD); SINGULAR VALUE DECOMPOSITION (SVD);

RADAR IMAGING;

EID: 0034299566     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1006/dspr.2000.0379     Document Type: Article

References (7)

1. Bhatnagar V., Shaw A. K., Williams R. W. Improved automatic target recognition using singular value decomposition. Proc. ICASSP 98. May 1998;. p. 2717-2720.
2. Ghosal S., McKee D. Target detection in foveal ATR systems. Proceedings of CVPR. 1996.
3. Lie W. An efficient threshold-evaluation algorithm for image segmentation based on spatial graylevel co-occurrences. Signal Process. 33:1993;121-126.
4. Rihaczek A. W., Hershkowitz S. J. Radar Resolution and Complex-Image Analysis. 1998;Artech House, Norwood.
5. Rong S., Bhanu B. Modeling clutter and context for target detection in infrared images. Proceedings of CVPR. 1996.
6. Novak L., Halverson S., Owirka G., Hiett M. Effects of polarization and resolution on SAR ATR. IEEE Trans. Aerospace and Electron. Systems. 33:1997;102-115.
7. Cooke, T. and, Peake, M, The optimal classification using a linear discriminant for two point classes having known mean and covariance, J. Multivariate Anal, in press.