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All EarthThe Gaofen-3 (GF-3) is a Chinese Synthetic Aperture Radar (SAR) satellite primarily designed for monitoring marine dynamic environments. Compared to spaceborne scatterometers, it can monitor sea surface wind fields with higher spatial resolution ...
Xuetong Xie +3 more
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Design and Implementation of a Novel Polarimetric Active Radar Calibrator for Gaofen-3 SAR. [PDF]
Sensors (Basel), 2018 The Chinese first fully polarimetric space-borne synthetic aperture radar (SAR)-Gaofen-3 (GF-3) was launched in August 2016, which operates at the C-band and the resolution can reach 1 m. Polarimetric SAR calibration is a procedure that corrects the polarization distortion of a measured scattering matrix by referring to the scattering matrix of a known
Li L, Zhu Y, Hong J, Ming F, Wang Y.
europepmc +5 more sources
Retrieval of Sea Surface Wind Speeds from Gaofen-3 Full Polarimetric Data
Remote Sensing, 2019 In this paper, the sea surface wind speed (SSWS) retrieval from Gaofen-3 (GF-3) quad-polarization stripmap (QPS) data in vertical-vertical (VV), horizontal-horizontal (HH), and vertical-horizontal (VH) polarizations is investigated in detail based on ...
Tianyu Zhang +4 more
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Evaluation of Chinese Quad-polarization Gaofen-3 SAR Wave Mode Data for Significant Wave Height Retrieval [PDF]
, 2020 Our work describes the accuracy of Chinese quad-polarization Gaofen-3 (GF-3) synthetic aperture radar (SAR) wave mode data for wave retrieval and provides guidance for the operational applications of GF-3 SAR.
Yuan, Xinzhe +8 more
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Multi-aspect SAR-GMTI and Experimental Research on Gaofen-3 SAR Modes
Leida xuebao, 2020 Multi-aspect SAR is a new SAR mode that has two advantages, i.e., long-term observations and a large synthetic-aperture azimuth angle. Previous studies have reported that these unique advantages enable even single-channel systems to have a relatively ...
SHEN Wenjie +4 more
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A Benchmark High-Resolution GaoFen-3 SAR Dataset for Building Semantic Segmentation [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Deep learning is increasingly popular in remote sensing communities and already successful in land cover classification and semantic segmentation. However, most studies are limited to the utilization of optical datasets. Despite few attempts applied to synthetic aperture radar (SAR) using deep learning, the huge potential, especially for the very high ...
Junshi Xia +5 more
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Verification of Complex Image Based Sparse SAR Imaging Method on GaoFen-3 Dataset
Leida xuebao, 2020 Sparse signal processing-based Synthetic Aperture Radar (SAR) imaging, also known as sparse SAR imaging, is the main research direction of sparse microwave imaging theory.
BI Hui +3 more
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Analysis of Wave Breaking on Gaofen-3 and TerraSAR-X SAR Image and Its Effect on Wave Retrieval
Remote Sensing, 2023 The main purpose of our work is to investigate the performance of wave breaking and its effect on wave retrieval in data acquired from the Chinese Gaofen-3 (GF-3) synthetic aperture radar (SAR) at C-band and the German TerraSAR-X (TS-X) at X-band.
Ruozhu Zhong +4 more
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Geometric Evaluation of Gaofen-7 Stereo Data [PDF]
, 2023 China's first sub-metre stereo satellite, GaoFen-7, was launched on 7 November 2019. One of the main criteria for a stereo mapping satellite is the geometric accuracy of the images.
d'Angelo, Pablo, Tian, Jiaojiao
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Polarimetric Calibration Scheme Combining Internal and External Calibrations, and Experiment for Gaofen-3 [PDF]
IEEE Access, 2020 The parameters for polarization distortion of spaceborne polarimetric synthetic aperture radar (SAR) have range-dependence (or look-angle-dependence), which requires a polarimetric calibration to be performed at any look-angle. It is a huge endeavor to rely solely on ground experiments to obtain a polarimetric calibration at all look-angles.
WeiBin Liang +5 more
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