SAR Image De-Noising Based on Shift Invariant K-SVD and Guided Filter

Xiaole Ma,Shuaiqi Liu,Shaohai Hu

doi:10.3390/rs9121311

Xiaole Ma, Shuaiqi Liu + Show 1 more

Open Access

https://doi.org/10.3390/rs9121311

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Journal: Remote sensing	Publication Date: Dec 13, 2017
Citations: 3	License type: CC BY 4.0

Affiliation: Beijing Jiaotong University, Hebei University

Abstract

Finding a way to effectively suppress speckle in SAR images has great significance. K-means singular value decomposition (K-SVD) has shown great potential in SAR image de-noising. However, the traditional K-SVD is sensitive to the position and phase of the characteristics in the image, and the de-noised image by K-SVD has lost some detailed information of the original image. In this paper, we present one new SAR image de-noising method based on shift invariant K-SVD and guided filter. The whole method consists of two steps. The first deals mainly with the noisy image with shift invariant K-SVD and obtaining the initial de-noised image. In the second step, we do the guided filtering for the initial de-noised image. Finally, we can recover the final de-noised image. Experimental results show that our method not only has better visual effects and objective evaluation, but can also save more detailed information such as image edge and texture when de-noising SAR images. The presented shift invariant K-SVD can be widely used in image processing, such as image fusion, edge detection and super-resolution reconstruction.

Highlights

Synthetic aperture radar (SAR) technology is high-resolution, works anytime and in any weather, and allows multi-polarization, variable angle, and so on
To testify the superior performance of our method, we conducted a series of experiments on the simulated SAR image and various standard real SAR images with different sizes from different data sets, which were first polluted artificially by noise
One new SAR image de-noising method based on shift-invariant K-means singular value decomposition (K-SVD) and guided filter is presented

Summary

Introduction

Synthetic aperture radar (SAR) technology is high-resolution, works anytime and in any weather, and allows multi-polarization, variable angle, and so on. SAR is a joint high-tech tool of space technology, electronics technology, and information technology, and it has been widely used in the military field for applications in strategy, tactics, and so on [1]. Compared with the color optical image, the SAR image which is obtained by microwave imaging can reflect the underground information through covers such as surface vegetation. Because of the unique imaging mechanism, there is always some speckle noise [2]. The existence of this noise has greatly increased the complexity of the image, resulting in a negative influence on the subsequent image processing. Finding a way to suppress or remove the speckle effectively is a hot topic for many scholars

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Conclusion