Abstract
Abstract. This paper presents a new method to correct rail errors of Ground Based Synthetic Aperture Radar (GB-SAR) in the discontinue mode. Generally, “light positioning” is performed to mark the GB-SAR position in the dis-continuous observation mode. Usually we assume there is no difference between the marked position and the real installation position. But in fact, it is hard to keep the GB-SAR positions of two campaigns the same, so repositioning errors can’t be neglected. In order to solve this problem, we propose an algorithm to correct the rail error after analyzing the GB-SAR rail error geometry. Results of the simulation experiment and the real experiment of a landslide in Lvliang, Shanxi, China, show the proposed method achieves an mm-level precision, enabling the D-GBSAR mode to be used in engineering projects.
Highlights
Ground Based Synthetic Aperture Radar (GB-SAR) is a radarbased terrestrial remote sensing imaging system (Tarchi et al, 1999), consisting of a precision rail track and a radar sensor emitting and receiving microwaves repeat-pass along the rail (Noferini, 2004)
Traditional GB-SAR algorithm assumes that interferometric images are constituted by deformation phase, topographic phase, atmospheric phase and noise
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic atmospheric phase is related to atmospheric parameters which could be corrected by many different approaches (Noferini et al, 2008; Iglesias et al, 2013; Iannini and Guarnieri, 2011); noise phase can be reduced by filtering
Summary
Ground Based Synthetic Aperture Radar (GB-SAR) is a radarbased terrestrial remote sensing imaging system (Tarchi et al, 1999), consisting of a precision rail track and a radar sensor emitting and receiving microwaves repeat-pass along the rail (Noferini, 2004). It obtains the target deformation by interfering the observation data. In the D-GBSAR mode, it is hard to ensure the GB-SAR positions to exactly the same in two campaigns, so this repositioning error called GB-SAR rail error in this paper should be considered. The last part presents a successful application example of D-GBSAR in monitoring the deformation of a landslide in Lvliang, Shanxi, China, using artificial corner reflectors
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