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

Volume

4

fYear

2000

fDate

16-21 July 2000

Firstpage

2150

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2000. IEEE

Conference_Location

Salt Lake City, UT, USA

Print_ISBN

0-7803-6369-8

Type

conf

DOI

10.1109/APS.2000.874919

Filename

874919