可调节自适应遥感影像融合方法研究

大部分常用的遥感影像融合方法都存在一个缺陷:只能产生一个特定的融合结果，用户无法控制最终的结果应该保留多少光谱信息或细节信息。提出了一种基于小波变换的可调节自适应遥感影像融合方法，该方法首先分别将待融合影像进行小波分解，然后，通过引入2个可调节参量，在小波域内融合，最后通过小波逆变换得到融合结果。使用法国地球资源探测卫星(SPOT)图像和陆地资源卫星专题绘图仪(landsat TM)图像，将该方法与传统的小波变换融合法、强度色散饱和变换融合法和主成分变换法进行对比试验，结果表明，该方法可以在细节保留和光谱保持两方面达到不同程度的平衡，在合理的参量组合下，融合图像的目视效果和统计指标优于传统融合方法。

Study on Adjustable Image Fusion Method for Remote Sensing

Most of the commonly used image fusion methods have the same limitation, only one fused result is possible by using each of the method, the users have no control over how much spatial detail or spectral information should be retained. A wavelet-based adjustable image fusion method is presented. The two images are decomposed into sub-images with wavelet transform, respectively. By introducing two parameters that can adjust the fused image, these sub-images are fused in wavelet space. A fused image is achieved by inverse wavelet transform. To compare the performances of the proposed method with those of the commonly used image fusion methods, such as the usual wavelet fuser, the intensity-hue-saturation (IHS) fuser, and the principal component analysis (PCA) fuser, the SPOT and the landsat thematic mapper (TM) images are used to perform the experiment. The results show that the balance between spectral characteristics preservation and high spatial resolution retention can be achieved at different levels in image fusion. With some combination of the parameters, the visual effects and the statistical parameters indicate that the fused results are slightly better than those of the commonly used image fusion methods.