基于免疫克隆選擇的多尺度對(duì)比度塔和多小波的sar圖像融合-資料下載頁(yè)
2025-06-27 23:01本頁(yè)面
【正文】 article. Furthermore, the evolution putation idea — immune clonal selection (ICS) algorithm is introduced to optimize the fusion coefficients for better fusion results. Fusion performance is evaluated through subjective inspection, as well as objective fusion performance measurements. Results clearly demonstrate the superiority of this new approach when pared to conventional wavelets and multiwavelet systems as information entropy (IE) values keep at a high level, and average grads (AG) values increase averagely about and , respectively and standard differences (STD) values increase averagely about and , respectively.Key words: Image fusion。 Immune clonal selection。 Multiwavelet transform。 HMT models。 CP deposition 作者簡(jiǎn)歷：金海燕，女，1976年生，博士，研究方向?yàn)橹悄苄畔⑻幚?、圖像去噪與壓縮、圖像融合。焦李成，男，1959年生，教授，博士生導(dǎo)師，研究方向?yàn)橹悄苄畔⑻幚?、圖像處理、自然計(jì)算。JIN Haiyan, female, was born in 1976, Ph. D.. Her research interests include intelligent information processing, image denoising and pression, image fusion.JIAO Licheng, male, was born in 1959, professor, Ph. D. supervisor. His research interests include intelligent information processing, image processing and natural putation.第一作者照片：聯(lián)系人電話：13891902877 金海燕Email: hy_jin823@ hy_jin823@ BackgroundStatistical image processing in multiscale transform domain has received widespread attentions in image processing, pattern recognition and puter vision in recent years. In practical remote sensing image fusion applications, the key problem is to obtain efficient fusion coefficients. For 2D images, the aim of fusion is to extract all the useful information from source images to generate a single image. The fused images should contain integrated information, which is more useful, exact, prehensive, and reliable for future human of machine perception. At present, most studies are concentrated on the pixel level. The bestknown methods are simple fusion method, pyramidbased methods, and waveletbased methods. In this article, a new approach based on ICSCPMWHMT method is presented. Fusion performance is evaluated through subjective inspection, as well as objective fusion performance measurements. Results clearly demonstrate the superiority of this new approach when pared to conventional wavelets and multiwavelet systems as information entropy (IE) values keep at a high level, and average grads (AG) values increase about and , respectively and standard differences (STD) values increase about and , respectively.This work has been partially supported by National High Technology Research and Development Program (863 Program) of China under grant No. 2001CB309403, Natural Science Foundation of Shaanxi province under grant .This group has been working on image processing including image fusion, image denoising and image segmentation, etc. for many years. So far, they have obtained some achievements in this area. By the end of 2007, the group has published more than twenty papers in the international proceedings and journals on this topic, among which about ten papers are indexed by SCI and more than ten papers by EI.17 /
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