SAR image enhancement technique based on morphological wavelet transformation

Jingwen Yan; Gang Lu; Hanqing Lu

doi:10.1117/12.441379

25 September 2001 SAR image enhancement technique based on morphological wavelet transformation

Jingwen Yan, Gang Lu, Hanqing Lu

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441379
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

In this paper, a morphological wavelet principle and a SAR image enhancement technique are introduced, and the image enhancement technique performance based on morphological wavelet transformation is proceeded using SAR image data. In wavelet transformation domain, an image enhancement method of 2D Butterworth filter constructed is applied, good enhancement effects are obtained, and an extraction edge and texture study of applying prewitt operator is taken. Because of morphological wavelet transformation good performance, a high efficiency in image enhancement and texture obtaining is gotten. The research results show that the SAR data with Speckle and Pepper and Salt noise is enhanced very well by nonlinear enhancement processing in morphological wavelet domain, and the ocean target characteristics is clearer, such as ship, ship tail and interalwave.

Citation Download Citation

Jingwen Yan, Gang Lu, and Hanqing Lu "SAR image enhancement technique based on morphological wavelet transformation", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441379

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