Abstract: Due to the difference of imaging mechanism， the modality difference and noise interference bring great challenges to the registration of multimodal remote sensing images. A novel multimodal remote sensing image registration method was proposed， which integrated relative total variation and phase consistency. By introducing relative total variation to eliminate ineffective textures and noise， the structural features of multimodal remote sensing images was fully extracted， and further the scale space was constructed to extract reliable feature points. Based on relative total variational scale space， the phase consistency， which is insensitive to intensity changes， was utilized to replace image gradient and construct salient feature descriptors. Experiments were conducted on three different types of datasets of multimodal remote sensing image. Compared with other state of the art registration methods， the proposed method can effectively process multimodal remote sensing images with modality differences and noise， and obtain better registration accuracy.