对于多源高分辨率遥感影像,探讨目标及背景特征在不同影像之间的可转换性及其转换方法是一项重要任务。只有这样,来自不同成像条件的影像上细致而丰富的细节才能被充分利用。以纹理为主要影像目标特征,研究不同成像条件下目标纹理特征描述之间的转换方法。以Gabor为基底,构建小波转换滤波器,对不同成像条件下目标纹理特征进行描述;在小波纹理特征描述的基础上,进行联合相关处理和分析,建立不同成像条件下目标纹理特征描述之间的联系;利用频带和方向的选择特性,结合联合相关处理和分析,形成不同成像条件下目标纹理特征描述之间的转换方法。 For multi-source and high-resolution remote sensing images, it is an important task to explore the convertibility of target and background features between different images and how to convert them. Only in this way, detailed and rich details on images from different imaging conditions can be fully utilized. Taking the texture as the main image target feature, this paper studies the transformation method between the target texture features under different imaging conditions. Based on Gabor, a wavelet transform filter is constructed to describe the target texture features under different imaging conditions. On the basis of wavelet texture feature description, joint correlation processing and analysis are carried out to establish the relationship between the target texture features under different imaging conditions Using the selection characteristics of the frequency band and the direction, combined with joint correlation processing and analysis to form a conversion method between target texture features under different imaging conditions.