Title
An Infinity-Norm-Based Phase Unwrapping Method With Tspa Framework For Multi-Baseline Sar Interferograms
Abstract
Phase unwrapping (PU) is a key step for the synthetic aperture radar (SAR) interferometry (InSAR). Singlebaseline (SB) PU and multi-baseline (MB) PU are two independently developed technologies, each of which has its own advantages and disadvantages. A two-stage programming-based MB PU method (TSPA) proposed by Yu [1] establishes a connection between the MB and SB PU methods. TSPA breaks the limitation of the phase continuity assumption by using the Chinese remainder theorem (CRT), and uses the minimum-cost flow (MCF) optimization model to obtain the PU result. TSPA can be regarded as a framework for solving MB PU problems. In this paper, we studied how to transplant the infinity-norm (L-infinity-norm) optimization model into TSPA framework. Under the TSPA MB PU framework, a L-infinity-norm based MB PU method (referred to as Inf-TSPA) is proposed to solve the problem of low PU accuracy of the L-infinity-norm SB PU method. The experimental results on the simulated and the realistic MB InSAR data sets verify that the performance of Inf-TSPA is significantly improved compared to the L-infinity-norm SB PU method.
Year
DOI
Venue
2020
10.1109/IGARSS39084.2020.9323551
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
DocType
Citations 
Phase unwrapping, synthetic aperture radar (SAR) interferometry (InSAR), multi-baseline (MB), infinity-norm
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Yang Lan165.22
Hanwen Yu200.34
Mengdao Xing31340162.45
Jixiang Fu402.37