Interferometric phase reconstruction using simplified coherence network

摘要: Abstract Interferometric time-series analysis techniques, which extend the traditional differential radar interferometry, have demonstrated a strong capability for monitoring ground surface displacement. Such techniques are able to obtain temporal evolution of deformation within millimeter accuracy by using stack synthetic aperture (SAR) images. In order minimize decorrelation between stacked SAR images, phase reconstruction technique has been developed recently. The main idea this is reform observations along taking advantage maximum likelihood estimator defined on coherence matrix estimated from each target. However, value element might be considerably biased when its corresponding low. case, it will turn an outlying sample affecting process. avoid problem, new approach in paper. This considers arc network. A so-called simplified network (SCN) constructed decrease negative impact samples. Moreover, pointed iterative strategy designed resolve transformed problem SCN. For validation purposes, proposed method applied 29 real results demonstrate that excellent computational efficiency and could more reliable solutions compared triangulation algorithm.