DocumentCode
3414226
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
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
1589
Lastpage
1593
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159868
Filename
6159868
Link To Document