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 :
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