Abstract:

Detecting feature points automatically and accurate feature matching are the two crucial steps in InSAR image registration. In this paper, an automatic feature-based registration algorithm is presented. We concentrate on two major steps: feature detection and feature matching. In feature detection, we design the templates to extract feature points by utilizing its high curvature property. In feature matching, we complete the process of the feature matching by using the matching algorithm proposed according to the conclusion of the near distance.

Key words: Remote , sensing , information , engineering, Image , registration, Two-step , method, Feature , points , matching, InSAR, Sub-pixel , accuracy