Title :
Optimal polarimetric processing for enhanced target detection
Author :
Novak, L.M. ; Burl, M.C. ; Irving, W.W.
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
fDate :
1/1/1993 12:00:00 AM
Abstract :
The results of a study of several polarimetric target detection algorithms are summarized. The algorithms were tested using real target-in-clutter data collected by the Lincoln Laboratory 35 GHz synthetic aperture radar (SAR) sensor. Fully polarimetric measurements (HH, HV, VV) are processed into intensity imagery using adaptive and nonadaptive polarimetric whitening filters (PWFs). Then a two-parameter constant false alarm rate (CFAR) detector is run over the imagery to detect the targets. Nonadaptive PWF processed imagery is shown to provide better protection performance than either adaptive PWF processed imagery or single-polarimetric-channel HH imagery. In addition, nonadaptive PWF processed imagery is shown to be visually clearer than adaptive processed imagery
Keywords :
adaptive systems; filtering and prediction theory; image processing; microwave imaging; polarimetry; radar theory; synthetic aperture radar; 35 GHz; Lincoln Laboratory; adaptive filter; enhanced target detection; intensity imagery; microwave radar; nonadaptive polarimetric whitening filters; optimal processing; polarimetric measurements; polarimetric target; real target-in-clutter data; synthetic aperture radar; two-parameter constant false alarm rate; Image resolution; Image sensors; Laboratories; Object detection; Radar antennas; Radar cross section; Radar detection; Radar imaging; Speckle; Synthetic aperture radar;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
