Please use this identifier to cite or link to this item:
Title: Improved least-squares method for INSAR phase unwrapping
Authors: Bao, Mingquan 
Kwoh, Leong Keong 
Singh, Kuldip 
Issue Date: 1998
Citation: Bao, Mingquan,Kwoh, Leong Keong,Singh, Kuldip (1998). Improved least-squares method for INSAR phase unwrapping. International Geoscience and Remote Sensing Symposium (IGARSS) 1 : 62-64. ScholarBank@NUS Repository.
Abstract: An improved least-squares phase unwrapping method is proposed by adding a constraint term which gives a smooth unwrapped phase in regions where the measured phase is corrupt. Moreover, the wavelet noise-removal technique is used for both real and imaginary parts of INSAR data. The phase partial derivatives obtained from filtered INSAR data are applied to calculate the unwrapped phase to relieve the slope underestimation problem. The derived equations for least-squares unwrapped phase are solved using Newton iteration under Gauss-Seidel relaxation schemes. A multigrid algorithm is used to speed up the convergence of the iteration. Results on simulated and real ERS-1/2 data demonstrate the efficiency and precision of this improved least-squares method.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Jun 23, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.