Application of Singular Value Decomposition to Tie Points Detection in InSAR Block
Jiang Li-min①② Chen Shu-xuan③ Xiang Mao-sheng①
①(National Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(Graduate University of Chinese Academy of Sciences, Beijing 100190, China) ③(Beijing Aerospace Automatic Control Institute, Beijing 100854, China)
Abstract：A method based on Singular Value Decomposition (SVD) is presented to solve Tie Points (TPs) detection in Interferometric Synthetic Aperture Radar (InSAR) block. The core concept is to construct a corresponding matrix through SVD of the dissimilar distribution matrix which characterizes the dissimilarity distribution of two descriptors attached to each feature point. The method benefits TPs detection based on combining the corresponding matrix with the ratio of the second greatest value to the greatest one. The algorithm has advantages of high speed, simplicity and technical feasibility. The effectiveness of proposed method is validated by experiments on three adjacent synthetic aperture radar image-pairs of different kinds of terrain.
2012, Vol. 34 
