TY - JOUR
T1 - On the Importance of Path for Phase Unwrapping in Synthetic Aperture Radar Interferometry
AU - Osmanoglu, Batuhan
AU - Dixon, Timothy H.
AU - Wdowinski, Shimon
AU - Cabral-Cano, Enrique
PY - 2011/1/1
Y1 - 2011/1/1
N2 - Phase unwrapping is a key procedure in interferometric synthetic aperture radar studies, translating ambiguous phase observations to topography, and surface deformation estimates. Some unwrapping algorithms are conducted along specific paths based on different selection criteria. In this study, we analyze six unwrapping paths: line scan, maximum coherence, phase derivative variance, phase derivative variance with branch-cut, second-derivative reliability, and the Fisher distance. The latter is a new path algorithm based on Fisher information theory, which combines the phase derivative with the expected variance to get a more robust path, potentially performing better than others in the case of low image quality. In order to compare only the performance of the paths, the same unwrapping function (phase derivative integral) is used. Results indicate that the Fisher distance algorithm gives better results in most cases.
AB - Phase unwrapping is a key procedure in interferometric synthetic aperture radar studies, translating ambiguous phase observations to topography, and surface deformation estimates. Some unwrapping algorithms are conducted along specific paths based on different selection criteria. In this study, we analyze six unwrapping paths: line scan, maximum coherence, phase derivative variance, phase derivative variance with branch-cut, second-derivative reliability, and the Fisher distance. The latter is a new path algorithm based on Fisher information theory, which combines the phase derivative with the expected variance to get a more robust path, potentially performing better than others in the case of low image quality. In order to compare only the performance of the paths, the same unwrapping function (phase derivative integral) is used. Results indicate that the Fisher distance algorithm gives better results in most cases.
UR - https://digitalcommons.usf.edu/geo_facpub/426
UR - https://doi.org/10.1364/AO.50.003205
U2 - 10.1364/AO.50.003205
DO - 10.1364/AO.50.003205
M3 - Article
C2 - 21743520
VL - 50
JO - Applied Optics
JF - Applied Optics
ER -