Abstract-Although feature-based methods have been successfully developed in the past decades for the registration of optical images, the registration of optical and synthetic aperture radar (SAR) images is still a challenging problem in remote sensing. In this letter, an improved version of the scale-invariant feature transform is first proposed to obtain initial matching features from optical and SAR images. Then, the initial matching features are refined by exploring their spatial relationship. The refined feature matches are finally used for estimating registration parameters. Experimental results have shown the effectiveness of the proposed method. Index Terms-Optical and SAR image registration, remote sensing, scale-invariant feature transform (SIFT), spatial consistent matching (SCM), synthetic aperture radar (SAR).
As the matching between optical and SAR images usually fails using the scale-invariant feature transform (SIFT), Fan REF introduced a modified version of the algorithm.
Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT
IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters
Mathematics Computer Science