IKONOS影像自适应小波包融合处理技术研究

Area Feature Wavelet Package Transformation Algorithm for High Resolution Seaport Imagery

针对传统的融合技术在IKONOS高分辨率卫星影像处理中的不适应性,提出一种更为精确细致的图像融合方法———自适应小波包分析法,既可以对图像低频部分进行融合处理,还可以对高频部分采取所需的融合处理策略,以综合多源多时相图像中的高频细节信息。该融合算法在信息量、光谱特征和边缘特征等方面具有综合优势。融合后影像不仅很好地保留了原多光谱图像的光谱特征,而且在增加融合结果信息量,改善解译的精度和可靠性以及使用率等方面均收到很好的效果。

In order to merge information from multi-sensor adequately and to improve abilities of information analysis and feature extraction especially for high resolution imagery,a area feature wavelet package transformation algorithm has been proposed.The wavelet packet transformation decomposes image into low frequency band and high frequency band in different level.The estimation of fusion effect shows that this method can fuse details of input images successfully and it can display information of any input image perfectly.It shows that this image fusion method can get more satisfactory result than others.