30 October 2009 Optimum selection of common master image for multitemporal InSAR
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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.
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Quihuan Huang, Quihuan Huang, Xiufeng He, 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); doi: 10.1117/12.833677; https://doi.org/10.1117/12.833677
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