DocumentCode :
2885756
Title :
Automatic Detection of Power Transmission Series in Full Polarimetric SAR Imagery
Author :
Yang, Wen ; Zhang, Haijian ; Chen, Jiayu ; Sun, Hong
Author_Institution :
Wuhan Univ., Wuhan
fYear :
2007
fDate :
17-20 April 2007
Firstpage :
789
Lastpage :
793
Abstract :
An automatic extraction scheme of power transmission tower series in full polarimetric synthetic aperture radar is presented. Through analyzing the amplitude of four scattering powers in terms of scattering matrix elements based on four-component decomposition model, point-like targets including the power transmission towers are detected in the helix scattering component using the multi-resolution statistic energy level method. Due to the geometrical properties of power transmission tower series, radon transform is used for extraction by applying it to the graph structure which constructed by linking all the isolated power transmission towers. Using L-band Pi-SAR images, the effectiveness of the extraction method is validated.
Keywords :
Radon transforms; poles and towers; radar detection; radar polarimetry; radar target recognition; synthetic aperture radar; four-component decomposition; full polarimetric SAR imagery; graph structure; helix scattering component; multi-resolution statistic energy level method; point-like targets; polarimetric synthetic aperture radar; power transmission tower series; scattering matrix elements; Energy states; Joining processes; L-band; Matrix decomposition; Polarimetric synthetic aperture radar; Poles and towers; Power transmission; Radar detection; Radar scattering; Statistical analysis; Target detection; polarimetric synthetic aperture radar; radon transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2007 IEEE
Conference_Location :
Boston, MA
ISSN :
1097-5659
Print_ISBN :
1-4244-0284-0
Electronic_ISBN :
1097-5659
Type :
conf
DOI :
10.1109/RADAR.2007.374320
Filename :
4250414
Link To Document :
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