Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 59, Issue 10, Pages 8367-8381Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2020.3045505
Keywords
Block adjustment; GF-3; layover compensation; synthetic aperture radar (SAR)
Categories
Funding
- Key Research and Development Program of the Ministry of Science and Technology [2018YFB0504905, 2016YFB0500801]
- Quality improvement of Chinese Satellite Data and Comprehensive Application Demonstration of Geology and Mineral Resources
- National Natural Science Foundation of China [41601490]
- China Postdoctoral Science Foundation [2015M582276]
- Hubei Provincial Natural Science Foundation of China [2015CFB330]
- Open Research Fund of the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing [15E02]
- Open Research Fund of the State Key Laboratory of Geo-Information Engineering [SKLGIE2015-Z-3-1]
- Fundamental Research Funds for the Central University [2042016kf0163]
- Special Fund for High-Resolution Images Surveying and Mapping Application
- Open Foundation of Key Laboratory of Precise Engineering and Industry Surveying of National Administration of Surveying, Mapping and Geoinformation [PF2017-4]
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This article proposes a layover compensation method for regional spaceborne SAR imagery, which was applied to Chinese Gaofen-3 (GF-3) SAR regional images and successfully compensated for 84.5% of the layover pixels.
Synthetic aperture radar (SAR) images reveal severe geometric distortions especially in the mountain area, such as layover, which is caused by imaging characteristics of SAR itself and terrain undulations. The layover phenomenon greatly limits the application of SAR images. This article proposes a layover compensation method for regional spaceborne SAR imagery without ground control points (GCPs), which is mainly improved from two aspects. First, a method based on rational function model (RFM) to determine the layover range is proposed. Second, based on geometric calibration and block adjustment, the processing flow is optimized to generate digital orthophoto map (DOM) which greatly eliminated the influence of layover. The proposed method was applied to Chinese Gaofen-3 (GF-3) SAR regional images, including the ascending and descending track stacks. The result showed that 84.5% of the layover pixels on the regional DOM were compensated, which verified the effectiveness and feasibility of the method.
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