| 基于改进模糊算法和相对熵的遥感图像增强 |
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| 引用本文： | 杨波,贾振红,覃锡忠,杨杰,胡英杰. 基于改进模糊算法和相对熵的遥感图像增强[J]. 激光杂志, 2014, 0(2): 37-38,41 |
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| 作者姓名： | 杨波 贾振红 覃锡忠 杨杰 胡英杰 |
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| 作者单位： | [1]新疆大学信息科学与工程学院,乌鲁木齐830046 [2]上海交通大学图像处理和模式识别研究所,上海200240 [3]新西兰奥克兰理工大学知识工程与开发研究所,新西兰奥克兰1020 |
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| 基金项目： | 教育部促进与美大地区科研合作与高层次人才培养项目（20101595） |
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| 摘 要： | 针对传统的Pal-King算法阈值难以确定的缺点,利用改进的最大类间方差(OTSU)算法来自适应获取阈值,通过改进的模糊增强算法对遥感图像进行全局增强,然后以相对熵为判别标准,进行领域信息的自适应对比度增强。实验结果表明,该算法增强的结果在主观上能获得很好的视觉效果,客观指标中清晰度和标准差有了大幅度的提升。因此该算法能获得很好的视觉效果和更加明显的细节信息。
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| 关 键 词： | 遥感图像 模糊增强 最大类间方差算法 相对熵 |
Remote sensing image enhancement based on improved fuzzy algorithm and relative entropy |
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| YANG Bo,JIA Zhen-hong,QIN Xi-zhong,YANG Jie,Hu Ying-jie. Remote sensing image enhancement based on improved fuzzy algorithm and relative entropy[J]. Laser Journal, 2014, 0(2): 37-38,41 |
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| Authors: | YANG Bo JIA Zhen-hong QIN Xi-zhong YANG Jie Hu Ying-jie |
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| Affiliation: | 1.College of Information Science and Engineering, Xinjiang University, Urumqi 830046,China; 2.Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China; 3.Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland 1020,New Zealand |
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| Abstract: | Aiming at the traditional Pal-King algorithm has the shortcomings of difficulty to determine threshold, in this paper, first we use the improved OTSU algorithm adaptively to obtain threshold, and then apply the improved fuzzy enhancement algorithm for Global enhanced,Then use relative entropy as a discriminant standard. Finally, the pixel will be enhanced by the algorithm which base on the neighborhood information of pixel. Experimental results show that,in the subjectively side, we obtain a good visual ef-fect, and objectively ,the clarity and standard deviation have a greatly promotion . Therefore, the algorithm can get good visual effects and more obvious details. |
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| Keywords: | remote sensing image fuzzy enhancement OTSU algorithm relative entropy |
| 本文献已被 CNKI 维普 等数据库收录！ |
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