Optimum selection of common master image for multitemporal InSAR

Quihuan Huang; Xiufeng He

doi:10.1117/12.833677

30 October 2009 Optimum selection of common master image for multitemporal InSAR

Quihuan Huang, Xiufeng He

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950B (2009) https://doi.org/10.1117/12.833677
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

How to select a common master image is one of the key points in multi-temporal InSAR processing. In this paper, three main decorrelation factors, spatial baseline, temporal baseline, Doppler centroid frequency difference, are focused on to establish a correlation model of SAR interferometry, especially, a seasonal factor is presented to reflect correlation change in a cycle of seasons, then the model for optimum selection of common master image based on a criterion called mean total pre-coherence was presented, followed by the corresponding computing algorithm. The experiments of master image selecting are performed using the 22 ERS-2 SAR images of Nanjing from 1996 to 2000, and the results demonstrate the effectiveness of the algorithm.

Citation Download Citation

Quihuan Huang and Xiufeng He "Optimum selection of common master image for multitemporal InSAR", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950B (30 October 2009); https://doi.org/10.1117/12.833677

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available