Title :
Congruence in least-squares phase unwrapping
Author_Institution :
Lockheed-Martin Federal Syst., Gaithersburg, MD, USA
Abstract :
Least-squares phase unwrapping algorithms of SAR interferometry minimize the squares of the differences between the gradients of the wrapped input phase and those of the unwrapped solution. These algorithms seem to lack the accuracy of some path-following algorithms, however, even when weighted least-squares techniques are used to mask out corrupted phase values. The reason for this is that least-squares solutions are not congruent to the wrapped input phase. The author introduces a congruence operation that forces any solution to be congruent to the wrapped input phase. This operation dramatically reduces the errors and renders least-squares solutions as accurate as those from path-following algorithms
Keywords :
geophysical signal processing; geophysical techniques; least squares approximations; radar imaging; remote sensing by radar; synthetic aperture radar; INSAR; SAR interferometry; algorithm; congruence; geophysical measurement technique; interferometric SAR; land surface; least-squares method; phase unwrapping; radar remote sensing; synthetic aperture radar; terrain mapping; Decorrelation; Error correction; Phase noise; Radar interferometry; Synthetic aperture radar interferometry; Wrapping;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615284