关键词: 合成孔径雷达（SAR）影像, 多光谱影像, 尺度不变特征变换（SIFT）特征, 异源影像匹配

Abstract: Since multi-source, multi-temporal, multi-resolution and multi-band remote sensing images are too different in spectral characteristics, spatial characteristics as well as texture features, it is full of difficulty to match these remote sensing images. According to the different characteristic of imaging mechanism for multi-source remote sensing images, a new matching algorithm based on Scale Invariant Features Transform（SIFT） features is proposed from the perspective of image features, to match these remote sensing images, among optical images, SAR images and multispectral images. The match constraint is proposed to make up for the insufficient of SIFT based unidirectional match algorithm. And a bidirectional matching strategy on its optimization is used to improve the matching reliability. The experimental results demonstrate that this approach is robust, reliable, fast and efficient for the high-precision matching among the multi-source remote sensing images which are too different in spectral characteristics, spatial characteristics, as well as texture features.

Key words: Synthetic Aperture Radar（SAR） image, multispectral image, Scale Invariant Features Transform（SIFT） feature, multi-source image match