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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 7, Iss. 7 — Jul. 1, 2009
  • pp: 572–575

Bridge recognition of median-resolution SAR images using pun histogram entropy

Wenyu Wu, Dong Yin, Rong Zhang, Yan Liu, and Jia Pan  »View Author Affiliations


Chinese Optics Letters, Vol. 7, Issue 7, pp. 572-575 (2009)


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Abstract

A novel algorithm for bridge recognition of median synthetic aperture radar (SAR) images using histogram entropy presented by Pun is proposed. Firstly, Lee filter and histogram proportion are used to denoise the original image and to make the target evident. Then, water regions are gained through histogram segmentation and the contours of water regions are extracted. After these, the potential bridge targets are obtained based on the space relativity between bridges and water regions using improved contour search. At last, bridges are recognized by extracting the feature of Pun histogram entropy (PHE) of these potential bridge targets. Experimental results show the good qualities of the algorithm, such as fast speed, high rate of recognition, and low rate of false target.

© 2009 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(280.6730) Remote sensing and sensors : Synthetic aperture radar
(100.3008) Image processing : Image recognition, algorithms and filters

Citation
Wenyu Wu, Dong Yin, Rong Zhang, Yan Liu, and Jia Pan, "Bridge recognition of median-resolution SAR images using pun histogram entropy," Chin. Opt. Lett. 7, 572-575 (2009)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-7-7-572


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