A study of automation recognition of bridge in SAR image

Author

Zhang, Li-Ping ; He, Jin-Qi ; Hongliang, Dai ; Wan, Chun-Ming

Author_Institution

Coll. of Commun., Jilin Univ., Jilin, China

Volume

5

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

391

Lastpage

394

Abstract

According to river and bridge features in SAR (Synthetic Aperture Radar, SAR) image as well as the position relationship between bridge and river, the automatic recognition method of bridge is presented. First, the gradient of an image is calculated by gradient operator in order to get the gradient image, and river region is segmented by Fisher criterion. Then, a doubtful bridge region is extracted by morphology method, and segmented by Fisher criterion. Finally, the bridge is recognized according to the features. Experimental results show that this method can automatically and rapidly recognize bridge.

Keywords

bridges (structures); geophysical image processing; geophysical techniques; rivers; synthetic aperture radar; Fisher criterion; SAR image; automatic recognition method; bridge feature; bridge recognition; bridge region; gradient image; gradient operator; morphology method; river feature; river region; synthetic aperture radar; Bridges; Image recognition; Image segmentation; Fisher criterion; SAR image; bridge recognition; morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5609938

Filename

5609938