Adaptive synthetic aperture radar image enhancement

Hua Cheng; Jinwen Tian

doi:10.1117/12.830927

30 October 2009 Adaptive synthetic aperture radar image enhancement

Hua Cheng, Jinwen Tian

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 749426 (2009) https://doi.org/10.1117/12.830927
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

An adaptive SAR image enhancement method is presented for reducing the speckle noise and increasing the contrast of synthetic aperture radar (SAR) images. First, a fuzzy logic based filter, employing fuzzy edge to weight the contributions of pixel values in filter window, is used to filter the speckles. Second, the original SAR image is decomposed into lowfrequency component and high-frequency component. The fuzzy filtered image is viewed as the low-frequency component, and the contrast limited adaptive histogram equalization algorithm is used to increase its contrast. The highfrequency component is obtained by subtracting the low-frequency component from the original image, and its gain is controlled by fuzzy structural which employed to express the degree of a pixel belonging to structures. After processed one after the other, the two components are added together to form the final enhanced SAR image. Experimental results show the excellent effect of the proposed method by visual observation and numerical measurement. Many fine structures and little speckle noise can be seen from the enhanced SAR images.

Citation Download Citation

Hua Cheng and Jinwen Tian "Adaptive synthetic aperture radar image enhancement", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749426 (30 October 2009); https://doi.org/10.1117/12.830927

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KEYWORDS

Synthetic aperture radar

Image enhancement

Fuzzy logic

Image filtering

Speckle

Image processing

Digital filtering

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