Linear Feature Extraction for SAR Image Based on Fused Edge Detector

An Cheng-jin; Du Lin-lin; Wang Wei-hua; Chen Zeng-ping

doi:10.3724/SP.J.1146.2008.00896

Volume 31 Issue 6

Jun. 2009

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An Cheng-jin, Du Lin-lin, Wang Wei-hua, Chen Zeng-ping. Linear Feature Extraction for SAR Image Based on Fused Edge Detector[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1279-1282. doi: 10.3724/SP.J.1146.2008.00896

Citation:

An Cheng-jin, Du Lin-lin, Wang Wei-hua, Chen Zeng-ping. Linear Feature Extraction for SAR Image Based on Fused Edge Detector[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1279-1282. doi: 10.3724/SP.J.1146.2008.00896

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Linear Feature Extraction for SAR Image Based on Fused Edge Detector

doi: 10.3724/SP.J.1146.2008.00896

Received Date: 2008-07-18
Rev Recd Date: 2008-10-31
Publish Date: 2009-06-19

Abstract

Abstract

A linear feature extraction algorithm for Synthetic Aperture Radar (SAR) image is proposed, which is based on the low signal-to-noise quality of SAR image. Firstly, a new edge detector, which fuses the Canny operator and Ratio Of Average (ROA) operator, is used to get the edge points. Then, radon transform is carried out to get the primitive line segments. Finally, the broken lines due to speckle noise are connected by means of the heuristic link idea. The experiment results which are based on the SAR images show, the proposed algorithm can describe the linear characteristic of SAR images precisely, and it can be used for SAR auto target recognition and scene matching.

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References

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