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在遥感数字影像镶嵌中,拼接缝的消除是主要问题之一.针对现有拼接缝消除方法中的不足,提出了直方图迭代匹配结合羽化处理的消除方法.以重庆市涪陵区航空影像为例,将该方法与羽化处理和基于直方图匹配的拼接缝消除方法进行了比较.结果表明,直方图迭代匹配结合羽化处理不仅具有较好的拼接缝消除效果,还提高了影像的影像标准差,增强了影像的反差,有效地改善了影像质量,有利于下一步的利用和研究.
In remote sensing digital image mosaic, the elimination of splicing seam is one of the main problems.Aiming at the shortcomings in the existing splicing seam elimination method, a histogram iterative matching method combining with feathering treatment is proposed.An image of Fuling District in Chongqing As an example, the method is compared with the feathering method and the histogram matching-based stitching seam elimination method.The results show that the histogram iteration matching with the feathering treatment not only has better splicing seam elimination effect, but also improves the image’s The standard deviation of images enhances the contrast of images and effectively improves the image quality, which is beneficial to the utilization and research in the next step.