Best Tradeoff for High-Resolution Image Fusion to Preserve Spatial Details and Minimize Color Distortion
Best Tradeoff for High-Resolution Image Fusion to Preserve Spatial Details and Minimize Color Distortion
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DOI：
10.1109/lgrs.2007.894143
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发表时间：
2007-04
影响因子：
4.8
通讯作者：
T. Tu;Wen-Chun Cheng;Chien-Ping Chang;P. Huang;Jyh-Chian Chang
中科院分区：
文献类型：
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作者：
T. Tu;Wen-Chun Cheng;Chien-Ping Chang;P. Huang;Jyh-Chian Chang
快速亮度-色调-饱和度(IHS)方法可以快速合并来自新卫星图像的海量数据。为了最大限度地减少IHS融合带来的颜色失真，Choi在他的新的快速IHS方法中使用了一个权衡参数来控制融合图像的空间和光谱分辨率。然而，该方法不是通用的，需要手动调整权衡参数，以便在保留光谱特征的同时保持空间细节。为了解决这一问题，本文提出了一种改进的方法，即可调的IHS-Brovey方法。实验结果表明，该方法在空间细节和颜色失真之间取得了较好的折衷，比原方法有了显著的改进
The fast intensity-hue-saturation (IHS) methods can quickly merge massive volumes of data from new satellite imagery. To minimize the color distortion from IHS fusion, Choi used a tradeoff parameter in his new fast IHS approach to control the spatial and spectral resolution of the fused image. However, the method is not general and requires manual adjustment of the tradeoff parameter in order to keep spatial details while preserving spectral characteristics. To tackle this problem, a modified approach that is a tunable IHS-Brovey method is presented in this letter. Experimental results demonstrate that the proposed technique can provide significant improvements over the original method, that is, to achieve a best tradeoff for spatial details and color distortion