PS POINT CLOUD SEGMENTATION AND ORBITAL RAMP ESTIMATION
BASED ON DELAUNAY TRIANGULATION AND TARJAN’S ALGORITHM
1)Key Laboratory of Earthquake Geodesy, Institute of Seismology, CEA, Wuhan 430071
2)Wuhan Base of Institute of Crustal Dynamics,CEA,Wuhan 430071
Abstract The PS point cloud segmentation and orbital ramp correction based on the Delaunay Triangulation and Tarjan’s algorithm was proposed in order to amend the estimation errors of orbital ramp correction during the PSInSAR processing. The PSInSAR results of Kashi prefecture recorded by the Envisat satellite of European Space Agency show that: Comparing with the traditional methods, this algorithm could eliminate the orbital errors effectively and avoid the errors caused by the notunicom unwrapping area. And the algorithm is applicable to the areas with continuous distribution of PS points in the entire images and could be coverd basically.
Key words :
orbital ramp of InSAR
Tarjan’s algorithm
PSInSAR
SBAS
phase unwrapping
Received: 19 October 2012
Published: 16 August 2013
Cite this article:
Li Gang,Qiao Xuejun,Nie Zhaosheng et al. PS POINT CLOUD SEGMENTATION AND ORBITAL RAMP ESTIMATION
BASED ON DELAUNAY TRIANGULATION AND TARJAN’S ALGORITHM
[J]. jgg, 2013, 33(4): 124-127.
Li Gang,Qiao Xuejun,Nie Zhaosheng et al. PS POINT CLOUD SEGMENTATION AND ORBITAL RAMP ESTIMATION
BASED ON DELAUNAY TRIANGULATION AND TARJAN’S ALGORITHM
[J]. jgg, 2013, 33(4): 124-127.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I4/124
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