TY - GEN
T1 - A PS- InSAR Sequential Processing Method Based on Network Reconstruction
AU - Li, Shun
AU - Du, Siyao
AU - Yu, Anxi
AU - Dong, Zhen
AU - Zhang, Xinlu
AU - Zhu, Xiaoxiang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/5
Y1 - 2018/12/5
N2 - Permanent scatterers in SAR interferometry (PS-InSAR) is used in the long time monitoring of deformation on the earth's surface. However, the traditional PS-InSAR is a method of batch handing to accomplish detecting and networking the permanent scatterers (PS) and parameter calculation, which greatly reduce the processing efficiency. This paper presents a PS-InSAR sequential processing method based on network reconfiguration. The method guides the network reconstruction of the PS candidates detected before and after the new image adding. Based on the network parameters that have been solved before the new image adding, the parameters of networking and deformations is updated after adding the new image, which significantly improved the processing efficiency. The experiments on the 20 ENVISAT ASAR images in the same area of Anaheim in USA, comparing with the traditional PS-InSAR method, verified that the proposed method can greatly improve the processing effectiveness without losing too much accuracy.
AB - Permanent scatterers in SAR interferometry (PS-InSAR) is used in the long time monitoring of deformation on the earth's surface. However, the traditional PS-InSAR is a method of batch handing to accomplish detecting and networking the permanent scatterers (PS) and parameter calculation, which greatly reduce the processing efficiency. This paper presents a PS-InSAR sequential processing method based on network reconfiguration. The method guides the network reconstruction of the PS candidates detected before and after the new image adding. Based on the network parameters that have been solved before the new image adding, the parameters of networking and deformations is updated after adding the new image, which significantly improved the processing efficiency. The experiments on the 20 ENVISAT ASAR images in the same area of Anaheim in USA, comparing with the traditional PS-InSAR method, verified that the proposed method can greatly improve the processing effectiveness without losing too much accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85060247394&partnerID=8YFLogxK
U2 - 10.1109/ICMMT.2018.8563850
DO - 10.1109/ICMMT.2018.8563850
M3 - Conference contribution
AN - SCOPUS:85060247394
T3 - 2018 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2018 - Proceedings
BT - 2018 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2018
Y2 - 6 May 2018 through 9 May 2018
ER -