NDLI: Study on the Detection Algorithm of Bridge over Water in SAR Image Based on Fuzzy Theory

Content Provider	IEEE Xplore Digital Library
Author	Weizhou Zhao Jianshe Song Jie Zhang
Copyright Year	2006
Description	Author affiliation: Xi'an Res. Inst. of High-tech. (Weizhou Zhao; Jianshe Song; Jie Zhang)
Abstract	Target detection and recognition is the ultimate aim in computer intelligence. Given an example of linear target, bridge over water in SAR image, the algorithm of denoise and segmentation is designed based on fuzzy theory, the detection of bridge edge is realized by minimum and Radon transform, and a measurement of judging parallel is proposed in this paper. In the process of designing algorithm, some problems have been considered and solved, including: (a) restrain furthest the multiplicative noise and enforce the feature of target; (b) obtain the area of bridge over water in complicated background; (c) get the edge of bridge, namely extraction of linear feature; (d) the final work in detection and recognition of bridge such as parallel judgment. The experimental results show that the algorithm is effective
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	641
Ending Page	644
File Size	186838
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.529
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bridges Algorithm design and analysis Process design Image segmentation Target recognition Image edge detection Object detection Competitive intelligence Background noise Detection algorithms
Content Type	Text
Resource Type	Article

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