Title :
A method of tie points detection in InSAR block based on SVD
Author :
Limin, Jiang ; Shuxuan, Chen ; Maosheng, Xiang
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Microwave Imaging, Inst. of Electron., Beijing, China
Abstract :
A method based on Singular Value Decomposition (SVD) is presented to solve Tie Points detection in the interferometric synthetic aperture radar (InSAR) block. The core concept of this method is to construct a corresponding matrix through the eigen-decomposition of the dissimilar distribution matrix which characterizes the dissimilarity distribution of the two descriptors attached to each feature point. The combination of the corresponding matrix with the ratio of the second greatest to the greatest element attributes to TPs detection. The proposed method is validated by experiments on the four adjacent SAR image-pairs of different terrain.
Keywords :
eigenvalues and eigenfunctions; matrix algebra; singular value decomposition; synthetic aperture radar; InSAR block; SVD; dissimilar distribution matrix; eigendecomposition; interferometric synthetic aperture radar; singular value decomposition; tie points detection; Accuracy; Gaussian distribution; Imaging; Matrix decomposition; Measurement; Shape; Singular value decomposition; Dissimilar metric; Dissimilarity distribution; InSAR Block; Singular Value Decomposition; Tie Points;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159868