利用多基線數(shù)據(jù)融合提高分布式衛(wèi)星InSAR系統(tǒng)的干涉相位精度
Improving the Interferometric Phase Accuracy of Distributed Satellites InSAR System with Multibaseline Data Fusion
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摘要: 分布式衛(wèi)星干涉合成孔徑雷達(InSAR)系統(tǒng)可以通過提供長基線來提高測高靈敏度，但長基線會給干涉相位展開帶來困難。結(jié)合分布式衛(wèi)星InSAR系統(tǒng)可以同時提供多個穩(wěn)定基線的特點，該文提出利用多基線數(shù)據(jù)融合的方法來解決長基線給干涉相位展開帶來的困難。文中采用了有效的數(shù)據(jù)融合方法最大似然估計(ML)法，對多基線分布式衛(wèi)星InSAR系統(tǒng)的干涉相位進行了估計。模擬結(jié)果表明，經(jīng)過多基線數(shù)據(jù)融合的干涉相位展開精度要遠遠大于長基線干涉相位的直接展開精度。Abstract: Distributed satellites Interferometric Synthetic Aperture Radar (InSAR) can provide large baseline, by which the sensitivity to topography measure can be improved. But large baseline arises the difficulty in phase unwrapping procedures. Combined the characteristic of multibaseline of distributed satellites InSAR system, a method that utilizes the multibaseline data fusion is proposed to solve the problem of phase unwrapping brought by large baseline in this paper. Maximum likelihood (ML) method that is an effective two-baseline data fusion algorithm is adopted to estimate interferometric phase of distributed satellites InSAR system. The simulation results show that the phase unwrapping accuracy via multibaseline data fusion is higher than that of direct phase unwrapping of large baseline interferometric phase.
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