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SAR Image Enhancement Method Based on Tetrolet Transform and Rough Sets

  • Wang LingzhiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 891)

Abstract

SAR image enhancement is one of the key issues on SAR image processing. In this paper, a new SAR image enhancement method is presented. Firstly, SAR image is abstracted into a knowledge system by rough sets, and obtained the approximate subsets of the edge and texture respectively. And then the introduction of tetrolet transformation, edge subset and texture subset is so represented sparsely that the signal energy is more concentrated. In Tetrolet transform domain, edge subset is refined by margin adjustment and texture subset is enhanced by threshold method. Finally, the edge and the texture subset processed are inversed by tetrolet transform, and weighted them to obtain the enhanced results. Experimental results show the proposed method that has better performance to retain detail information and suppress Speckle noise, superior to the traditional wavelet transform and contourlet transform method.

Keywords

Rough sets Tetrolet transform Synthetic aperture radar Image enhancement 

Notes

Acknowledgement

This work was supported by Scientific Research Plan Projects of Shannxi Education Department (Grant No. 16JK1690).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Automation SchoolXian University of Posts and TelecommunicationsXi’anChina

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