Title :
Unwrapping method for interferometric images
Author :
Huot, Etienne G. ; Cohen, Isaac ; Herlin, Isabelle L.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
Abstract :
To analyze SAR interferometric data, an unwrapping process must be first performed. Most so far proposed solutions use either local or global methods. In this paper we propose a mixed method to solve this problem, based on a 3-step iterative process: a local unwrapping is first performed and then improved through a Markovian segmentation, false unwrapped residues are finally detected and corrected. A deterministic algorithm is used for the relaxation process; wrong unwrapped areas are corrected by a backtracking mechanism. Some results obtained by this approach, which presents a lower computational cost compared to complex stochastic unwrapping methods, are also presented
Keywords :
Markov processes; backtracking; computational complexity; deterministic algorithms; geophysical signal processing; image segmentation; iterative methods; radar imaging; radiowave interferometry; remote sensing by radar; spaceborne radar; synthetic aperture radar; 3-step iterative process; Markovian segmentation; SAR interferometric data; backtracking mechanism; computational cost; deterministic algorithm; false unwrapped residues; interferometric images; local unwrapping; mixed method; relaxation process; unwrapping method; wrong unwrapped areas; Computational efficiency; Costs; Data analysis; Iterative algorithms; Iterative methods; Performance analysis; Phase estimation; Stochastic processes; Surfaces; Synthetic aperture radar interferometry;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595384