基于小波统计特性的遥感图像像素与特征联合最优融合方法

Matching error causes spectral distortion and degradation in processing of remote sensing images fusion with IHS method. Wavelet decomposition has properties of frequency division in transform domain. And the statistical properties of wavelet coefficient reflect those significant features, such as edges, lines and regions. In this paper, a united optimal fusion method of pixel and feature is proposed based on the statistical properties of wavelet decomposition. In IHS space, the high frequency of intensity component I is fused on feature level with multi-resolution wavelet. And the low frequency of intensity component I is fused on pixel level with optimal weight coefficients. Spectral information and spatial resolution are two indexes of optimum weight coefficient. The test results with QuickBird data show the effectiveness of presented method.