Bridge Target Detection in SAR Images Based on Texture Feature

Nan Zheng; Wei Zheng; Zhong Lin Xu; Da Cheng Wang

doi:10.4028/www.scientific.net/AMM.347-350.3634

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Bridge Target Detection in SAR Images Based on...

Bridge Target Detection in SAR Images Based on Texture Feature

Abstract:

This paper carries out an algorithm research on bridge target detection in SAR images and presents a method that combines both texture features and correlation features. The method firstly extracts initial targets by using the algorithm of histogram equalization segmentation, and then conducts a contrastive analysis for targets and their surrounding background textures by using the gray level co-occurrence matrix to get rid of the false alarm target. The experimental results show that the method is simple, effective and has certain algorithm robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3634-3638

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3634

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Online since:

August 2013

Authors:

Nan Zheng, Wei Zheng, Zhong Lin Xu, Da Cheng Wang

Keywords:

Bridge Detection, Grey Level Co-Occurrence Matrix, SAR Image, Texture Feature

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References

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