Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/208772
Title: A Refined Cluster-Analysis-Based Multibaseline Phase-Unwrapping Algorithm
Authors: Zhibiao Jiang;Jian Wang;Qian Song;Zhimin Zhou
Year: 2017
Publisher: IEEE
Abstract: As is well known, multibaseline phase unwrapping (PU) is put forward to overcome single-baseline PU in discontinuous-terrain-height estimation. This letter presents a refined algorithm based on the cluster analysis (CA)-based noise-robust efficient multibaseline PU algorithm proposed by H. Yu. The basic idea is to combine multiple interferometric synthetic aperture radar interferograms with different baseline lengths by a linear combination. The new interferograms after the linear combination increase the ambiguity heights. The number of resulting groups on the envelope of the intercept histogram is decreased and the distance between different intercept groups is widened. Compared with the conventional CA method, the significant advantage of the refined CA (RCA) algorithm is that it improves noise robustness when the intercept groups are densely distributed. The proposed RCA algorithm is validated using the simulated interferometric data. The results demonstrate that the noise robustness performance is better than that of the CA method.
URI: http://localhost/handle/Hannan/208772
volume: 14
issue: 9
More Information: 1565,
1569
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7984870.pdf931.94 kBAdobe PDF
Title: A Refined Cluster-Analysis-Based Multibaseline Phase-Unwrapping Algorithm
Authors: Zhibiao Jiang;Jian Wang;Qian Song;Zhimin Zhou
Year: 2017
Publisher: IEEE
Abstract: As is well known, multibaseline phase unwrapping (PU) is put forward to overcome single-baseline PU in discontinuous-terrain-height estimation. This letter presents a refined algorithm based on the cluster analysis (CA)-based noise-robust efficient multibaseline PU algorithm proposed by H. Yu. The basic idea is to combine multiple interferometric synthetic aperture radar interferograms with different baseline lengths by a linear combination. The new interferograms after the linear combination increase the ambiguity heights. The number of resulting groups on the envelope of the intercept histogram is decreased and the distance between different intercept groups is widened. Compared with the conventional CA method, the significant advantage of the refined CA (RCA) algorithm is that it improves noise robustness when the intercept groups are densely distributed. The proposed RCA algorithm is validated using the simulated interferometric data. The results demonstrate that the noise robustness performance is better than that of the CA method.
URI: http://localhost/handle/Hannan/208772
volume: 14
issue: 9
More Information: 1565,
1569
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7984870.pdf931.94 kBAdobe PDF
Title: A Refined Cluster-Analysis-Based Multibaseline Phase-Unwrapping Algorithm
Authors: Zhibiao Jiang;Jian Wang;Qian Song;Zhimin Zhou
Year: 2017
Publisher: IEEE
Abstract: As is well known, multibaseline phase unwrapping (PU) is put forward to overcome single-baseline PU in discontinuous-terrain-height estimation. This letter presents a refined algorithm based on the cluster analysis (CA)-based noise-robust efficient multibaseline PU algorithm proposed by H. Yu. The basic idea is to combine multiple interferometric synthetic aperture radar interferograms with different baseline lengths by a linear combination. The new interferograms after the linear combination increase the ambiguity heights. The number of resulting groups on the envelope of the intercept histogram is decreased and the distance between different intercept groups is widened. Compared with the conventional CA method, the significant advantage of the refined CA (RCA) algorithm is that it improves noise robustness when the intercept groups are densely distributed. The proposed RCA algorithm is validated using the simulated interferometric data. The results demonstrate that the noise robustness performance is better than that of the CA method.
URI: http://localhost/handle/Hannan/208772
volume: 14
issue: 9
More Information: 1565,
1569
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7984870.pdf931.94 kBAdobe PDF