TY - GEN
T1 - A joint model for isolating stratified tropospheric delays in multitemporal InSAR
AU - Liang, Hongyu
AU - Zhang, Lei
AU - DIng, Xiaoli
AU - Lu, Zhong
AU - Li, Xin
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Stratified tropospheric delays (TDs) in differential interferometric synthetic aperture radar (InSAR) result from the temporal variation of vertical stratification in the lower part of the troposphere. Although an approximately model can be made by assuming a linear relationship between topography and delayed phase in the interferogram, the estimation is weakened by the spatial variability of troposphere and the interference from other confounding signals (e.g., deformation, topographic error and orbit error, etc.). In this contribution, a jointly tropospheric correction scheme is proposed to simultaneously estimate stratified tropospheric delays with deformation and topographic errors. Spatial variability of tropospheric properties is addressed through a localized estimation which is derived by quadtree segmentation according to height gradient. The performance of the proposed method is validated and compared with the conventional linear and weather-model-based methods using Sentinel-1 dataset.
AB - Stratified tropospheric delays (TDs) in differential interferometric synthetic aperture radar (InSAR) result from the temporal variation of vertical stratification in the lower part of the troposphere. Although an approximately model can be made by assuming a linear relationship between topography and delayed phase in the interferogram, the estimation is weakened by the spatial variability of troposphere and the interference from other confounding signals (e.g., deformation, topographic error and orbit error, etc.). In this contribution, a jointly tropospheric correction scheme is proposed to simultaneously estimate stratified tropospheric delays with deformation and topographic errors. Spatial variability of tropospheric properties is addressed through a localized estimation which is derived by quadtree segmentation according to height gradient. The performance of the proposed method is validated and compared with the conventional linear and weather-model-based methods using Sentinel-1 dataset.
KW - Interferometric synthetic aperture radar (SAR) (InSAR)
KW - Least squares
KW - Stratified tropospheric delays
UR - http://www.scopus.com/inward/record.url?scp=85064250783&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2018.8519173
DO - 10.1109/IGARSS.2018.8519173
M3 - Conference article published in proceeding or book
AN - SCOPUS:85064250783
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2258
EP - 2261
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -