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.

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441379

Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing
Qingxi Tong; Yaoting Zhu; Zhenfu Zhu, Editor(s)