Phase unwrapping through least-squares approximation

Qian Lin; John F. Vesecky; Howard A. Zebker

doi:10.1117/12.58332

19 May 1992 Phase unwrapping through least-squares approximation

Qian Lin, John F. Vesecky, Howard A. Zebker

Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992) https://doi.org/10.1117/12.58332
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

The problem of phase unwrapping in elevation estimation using interferometric synthetic aperture radar images is approached through the detection of fringe line positions. The position of each fringe line is estimated by fitting the corresponding enhanced phase transition region with a series of basis functions, the coefficients of which are obtained through weighted least squares estimation. The algorithm is applied to a pair of SEASAT SAR images over mountainous terrain. Cosine functions and linear splines are used as the basis functions, and results show the proposed phase unwrapping algorithm can successfully eliminate global errors and reduce local errors.

Citation Download Citation

Qian Lin, John F. Vesecky, and Howard A. Zebker "Phase unwrapping through least-squares approximation", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); https://doi.org/10.1117/12.58332

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