论文信息 - Optimal polarizations for radar detection and recognition of targets in clutter

Optimal polarizations for radar detection and recognition of targets in clutter

The authors investigate the detection and recognition of stationary ground targets in high-resolution, fully polarimetric synthetic aperture radar (SAR) imagery. Using 1-ft*1-ft SAR imagery of targets and clutter gathered by a 33-GHz sensor, several techniques for improving target detection performance through optimal processing of the fully polarimetric SAR data.<<ETX>>

Leslie M. Novak | Steven R. Hesse

[1] Leslie M. Novak,et al. Studies of target detection algorithms that use polarimetric radar data , 1988 .

[2] J. C. Henry. The Lincoln Laboratory 35 GHz airborne SAR imaging radar system , 1991, NTC '91 - National Telesystems Conference Proceedings.

[3] H. A. Yueh,et al. Optimal polarizations for achieving maximum contrast in radar images , 1988 .

[4] Leslie M. Novak,et al. Optimal speckle reduction in polarimetric SAR imagery , 1990 .

[5] L.M. Novak,et al. On the performance of polarimetric target detection algorithms , 1990, IEEE Aerospace and Electronic Systems Magazine.

[6] Leslie M. Novak,et al. Optimal polarimetric processing for enhanced target detection , 1993 .

[7] R. D. Chaney,et al. Optimal Processing of Polarimetric Synthetic-Aperture Radar Imagery , 1990 .

[8] G. B. Goldstein,et al. False-Alarm Regulation in Log-Normal and Weibull Clutter , 1973, IEEE Transactions on Aerospace and Electronic Systems.