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基于形态学和Contourlet系数区域特征的遥感图像融合方法 被引量:6

Remote Sensing Images Fusion Method Based on Morphology and Regional Feature of Contourlet Coefficients
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摘要 进行遥感图像融合时,全色图像空间信息的保留与多光谱图像光谱信息的保持是相互矛盾的,如何在这对矛盾体中实现最佳的融合效果一直是图像融合领域的研究热点。在IHS变换的基础上,将形态学和Contourlet变换相结合,针对多特征地物遥感图像的融合提出了一种基于图像特征的选择性融合算法。该算法先利用形态学操作将图像的边缘和非边缘信息进行区分,然后对处理后的图像进行Contourlet变换得到一个低频和一系列高频分量,再利用不同的区域特征自适应融合算法分别对低频和高频系数进行选择性融合,最后通过Contourlet逆变换和IHS逆变换得到融合结果。融合实验结果表明:对多特征地物遥感图像进行融合时,该算法是高效可行的。 In the course of the fusion of remote sensing images,the retaining of the spatial information of panchromatic images is mutually contradictory with the preserving of the spectral information of multi-spectral images.So it has been being a research hotspot how to achieve the best fusion result within this paradox in image fusion fields.A new selective fusion method based on morphology and contourlet transform was proposed in this paper,which aims at the fusion of images that have several kinds of surface features.In this algorithm,the edge information of the image is distinguished to the non-edge by morphology,after that the contourlet transform is conducted to get the approximate components and a series of detail components,then the approximate images and detail images are infused selectively in contourlet coefficients domain by applying different fusion rules based on proper criteria,and finally the resultant image is obtained by inverse contourlet transform and inverse IHS transform.The results of the fusion experiment show that the proposed algorithm is feasible and effective for the fusion of remote sensing images that have different surface features.
作者 朱康 贺新光
出处 《计算机科学》 CSCD 北大核心 2013年第4期301-305,共5页 Computer Science
基金 湖南省自然科学基金项目(11JJ3057) 湖南省教育厅资助科研项目(10B065) 湖南师范大学青年优秀人才培养计划(ET40906) 湖南省"十二五"重点学科地理学资助
关键词 遥感图像 图像融合 形态学 CONTOURLET变换 局部特征 Remote sensing image Image fusion Morphology Contourlet transform Local feature
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参考文献15

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