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.

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950B (30 October 2009); doi: 10.1117/12.833677

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)