Title :
Stochastic modeling of time series radar interferometry
Author :
Hanssen, Ramon F.
Author_Institution :
Delft Inst. of Earth Obs. & Space Syst., Delft Univ. of Technol., Netherlands
Abstract :
Quality description and evaluation of InSAR results is hampered by the fact that the model to derive parameters from the observations is usually underdetermined. Only using strong, often rather qualitative, assumptions it is possible to reach unique solutions. One of the most prominent assumptions is that phase ambiguity resolution can be treated as a deterministic problem. In this study, a model formulation is presented that captures the majority of the assumptions in a mathematical sense, allowing for adjustment, testing procedures and formal error propagation. The influence of stochastic ambiguity resolution to the probability distribution of the estimated parameters is shown.
Keywords :
geophysical signal processing; radar signal processing; radar theory; radiowave interferometry; remote sensing by radar; stochastic processes; synthetic aperture radar; time series; InSAR evaluation; deformation estimation; deterministic problem; error propagation; phase ambiguity resolution; probability distribution; stochastic modeling; time series radar interferometry; topography estimation; Image resolution; Parameter estimation; Phase estimation; Radar interferometry; Space technology; State estimation; Stochastic processes; Surfaces; Synthetic aperture radar interferometry; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369832