Title :
CFAR detection for K-distributed multi-looked SAR image
Author :
Lu, Yan ; Yu, Yongjian ; Huang, Shun-ji
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, CFAR detection of non-Gaussian targets from multi-look SAR (synthetic aperture radar) images that are characterized by K-distributed clutter is studied. Expressions of the PDF for target-plus-clutter, detection probability (Pd) and false alarm probability (Pfa) in both CA (cell averaging) and OS (order statistic) CFAR detectors are represented. Two methods for numerical computation in CFAR detection are described when dealing with problems of the CA detector. The performance is examined, detectability loss due to the `spikiness´ of the clutter is shown for both CA and OS detectors, and for both single-look and multi-look mode
Keywords :
probability; radar clutter; radar detection; radar imaging; radar theory; radar tracking; synthetic aperture radar; CFAR detection; K-distributed clutter; PDF; cell averaging detectors; clutter spikiness; detectability loss; detection probability; false alarm probability; multi-look SAR image; multi-look mode; non-Gaussian targets; order statistic detectors; performance; single-look mode; synthetic aperture radar; target plus clutter expression; Decorrelation; Detectors; Image resolution; Noise level; Probability; Radar clutter; Radar detection; Spatial resolution; Synthetic aperture radar; Testing;
Conference_Titel :
Radar Conference, 2000. The Record of the IEEE 2000 International
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-5776-0
DOI :
10.1109/RADAR.2000.851847
