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摘要
The multi-sensor image fusion technology can acquire a more comprehensive, more accurate and more reliable image, in order to understand the scene or recognize the target more easily. However, most existing algorithms are mainly based on optical remote sensing images, supplemented by synthetic aperture radar (SAR) images, but optical remote sensing images are highly susceptible by environmental condition and media interference. The image fusion between SAR images and panchromatic (PAN) images also cannot save the textural feature of irregular area and the color information of regular area at the same time. In view of these problems, a multi-sensor image fusion algorithm based on local feature difference is proposed in this paper. Firstly, the SAR image is divided into regular area and irregular area by a new adaptive segmentation method. Secondly, the feature coefficients of the two areas are extracted using shift invariance discrete wavelet transform (SIDWT). And according to local feature, a new fusion rule is designed to fuse the corresponding wavelet coefficients of SAR image and PAN image. Finally, the fused image is got after inverse wavelet transform with new wavelet coefficients. Experimental results demonstrate the effectiveness of the proposed algorithm on both the subjective and objective evaluations, such as clarity and information content.
- 出版日期2014
- 单位河海大学
