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An Aerial Remote Sensing Image's Mosaic Approach Using Multilayer Wavelet Fusion Based on Structure Similarity

机译:基于结构相似度的多层小波融合的航空遥感影像拼接方法

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In order to solve the problems that image's entropy of information decline obviously and boundary line phenomenon appear obviously in the processing of aerial remote sensing image's mosaic, an image mosaic approach is presented in this paper, which uses wavelet image fusion based on structure similarity and is capable of creating seamless mosaics in real-time. The approach consists of three steps. First, the overlapping area of two aerial images is extracted. Then, the two overlapping area images are fused adaptively by the method of multi-layer wavelet decomposition based on the structure similarity and appointed regulation. Finally, weighted average fusion is used again to avoid the visible boundary line for the both sides of the boundary of the above fusion image. Experimental results show the entropy of information, sharpness and standard deviation have been improved significantly, and the boundary line has been eliminated observably.
机译:为了解决航空遥感图像拼接过程中图像信息熵明显下降,边界线现象明显出现的问题,提出了一种基于结构相似度的小波图像融合的图像拼接方法。能够实时创建无缝拼接。该方法包括三个步骤。首先,提取两个航空图像的重叠区域。然后,基于结构相似度和指定规则,采用多层小波分解的方法自适应地融合两个重叠区域图像。最后,再次使用加权平均融合来避免上述融合图像边界两侧的可见边界线。实验结果表明,信息的熵,清晰度和标准偏差得到了显着改善,并且边界线已被明显消除。

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