Title :
A statistical theory of power line detection in polarimetric MMW SAR images
Author :
Sarabandi, K. ; Park, M.
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Abstract :
The coherence between the co- and cross-polarized backscatter components is used as the detection parameter in a statistical polarimetric power line detection algorithm. In this paper, detection criteria based on clutter backscattering coefficients, power line size, and aspect angle with respect to the radar, as well as the number of independent samples are formulated. The performance of the algorithm for mapping power lines in SAR images is demonstrated using a number of low-grazing incidence polarimetric SAR images at 35 GHz.
Keywords :
backscatter; electromagnetic wave polarisation; millimetre wave imaging; power overhead lines; radar clutter; radar detection; radar imaging; radar polarimetry; statistical analysis; synthetic aperture radar; 35 GHz; EHF; algorithm performance; aspect angle; clutter backscattering coefficients; co-polarized backscatter components; coherence; cross-polarized backscatter components; detection criteria; detection parameter; independent samples; low-grazing incidence polarimetric SAR images; polarimetric MMW SAR images; power line size; statistical polarimetric power line detection algorithm; statistical theory; Backscatter; Detection algorithms; Gaussian processes; Laboratories; Radar clutter; Radar detection; Radar imaging; Radar polarimetry; Random variables; Signal detection;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2000. IEEE
Conference_Location :
Salt Lake City, UT, USA
Print_ISBN :
0-7803-6369-8
DOI :
10.1109/APS.2000.874919
