Back to Search Start Over

Study of a GB-SAR Rail Error Correction Method Based on an Incident Angle Model.

Authors :
Pan, Xiandong
Xu, Yaming
Xing, Cheng
Wang, Peng
Zhong, Luping
Source :
IEEE Transactions on Geoscience & Remote Sensing. Jan2020, Vol. 58 Issue 1, p510-518. 9p.
Publication Year :
2020

Abstract

With ground-based synthetic aperture radar (GB-SAR) discontinuous observation, the effect of rail error, caused by multiple installations, on imaging is difficult to eliminate with difference correction. In this article, the impact of rail error on each point, which is related to the incident angle of each point, is theoretically analyzed. This is the first attempt to introduce a baseline in the application of GB-SAR microdeformation to build a model that estimates the incident angle of each point in the image. Then, the rail error correction model is established using the incident angle, and the influence of the rail error on the image point is weakened using this model. The experimental results show that the precision of the estimated incidence angle cosine is 0.0132, which is comparable to the same angle cosine value measured by the total station. By applying the correction method in this article, different impacts of each point in the image, caused by rail error from multiple instrument installations, can be weakened to below 0.1 mm, meeting the requirement of GB-SAR microdeformation measurement submillimeter accuracy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
58
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
143317140
Full Text :
https://doi.org/10.1109/TGRS.2019.2937794