基于局部统计特性和IHS变换的遥感影像融合

New fusion approach using local statistical characteristics and color space transform for remote-sensing images

针对传统的高通滤波方法,提出了利用遥感影像的统计特性和IHS变换进行融合的方法。该方法通过对两幅遥感影像直方图匹配,进行影像融合。采用偏差指数、平均梯度和不同关系数三个指标对融合结果进行了定量评价。实验结果表明,与传统的高通滤波法相比,该方法在提高了多光谱影像空间分辨率的同时。

Based on the traditional HPF (high pass filter), a fusion method is proposed using the local statistical characteristics of remote-sensing images and IHS transform. The method calculates the mean and deviation of images using Gauss function and merges remote-sensing images by histogram matching. The test results show that compared with the traditional high pass filter, the proposed method can efficiently preserve the spectral information and improve the spatial resolution of remote-sensing images.