A hierarchical structure features analysis technique to reduce registration noise for change detection on VHR images

This paper presents a hierarchical structure feature analysis technique, which is robust to registration noise for change detection in multi-temporal very high spatial resolution (VHR) remote sensing images. To suppress the registration noise in “difference images”, the proposed technique extracts the structural features of the same local area from multi-temporal images and then analyzes the similarity of these features. Specifically, this method consist two steps: first, the structural features is employed to obtain gross suppression of registration noise, so that the noise from the regions that have high similarity is eliminated; second, the remained noise is further suppressed using the local features with more spatial details. Experimental results obtained from multi-temporal remote sensing images demonstrated the effectiveness of the proposed approach.