Object-Based Multi-mode SAR Image Matching

Abstract

Owing to the effect of imaging mechanism and imaging conditions in synthetic aperture radar (SAR) image, inconsistent features and relationship correspondence constitute key problems using traditional image matching algorithms because of significant differences between the images. This study proposes an object-based SAR image matching method. Two images are matched through same ground objects, by means of property and shape information of objects, which are obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare contours of objects and detected invariant control points. The experimental results show that the proposed method achieves reliable and stable matching performance, and can alleviate deformation and nonlinear distortion effects of different systems.