DocumentCode
3690222
Title
INSAR railway monitoring validation through high density leveling campaign
Author
Qingli Luo;Guoqing Zhou;Daniele Perissin
Author_Institution
Center of Remote Sensing, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1425
Lastpage
1428
Abstract
Much attention was paid on monitoring of the subsidence along large-scale man-made linear features (LMLFs). The high resolution SAR data offers impressive details on these infrastructures with multi-temporal INSAR analysis. This paper validates the INSAR results of time series analysis along a certain railway in China using a high density leveling campaign. The Leveling points are distributed along the railway line and each two leveling points are 60 m apart at a time interval of nearly one month. The study area is located in the west of Tianjin downtown, covering an area of 1.5 km · 7.46 km. The validation results show that the average subsidence rate and time series of PS results are agreed well with that of these leveling points.
Keywords
"Rail transportation","Histograms","Monitoring","Time series analysis","Synthetic aperture radar","Data mining","Buildings"
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN
2153-6996
Electronic_ISBN
2153-7003
Type
conf
DOI
10.1109/IGARSS.2015.7326045
Filename
7326045
Link To Document