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Flood Inundation Extent Extraction Based on Multi-source Synergistic Features from GF-3 Dual-polarization SAR Data

2026 7th International Conference on Geology, Mapping and Remote Sensing (ICGMRS)
In the context of global climate change, flood disasters triggered by extreme rainstorms occur frequently, posing a severe threat to the safety of people's lives and property.
Rong Li, Denghua Yan, Wei Jiang
semanticscholar   +1 more source

Near-real-time two-dimensional wave spectrum retrieval from Gaofen-3 wave mode imagettes

International Conference on Environmental Remote Sensing and Geographic Information Technology
Near-real-time ocean monitoring using synthetic aperture radar (SAR) satellites aims to rapidly characterize the sea states from SAR data. Although recent studies have demonstrated near-real-time retrieval of significant wave height and mean wave period,
Yuxin Fang   +5 more
semanticscholar   +1 more source

Sea Surface Wind Speed Retrieval with a Dual-Branch Feature-Fusion Network Using GaoFen-3 Series SAR Data

Remote Sensing
To address the suboptimal radiometric calibration accuracy observed in specific beam codes of the GaoFen-3 (GF-3) series satellite for sea surface wind speed (SSWS) retrieval, this study introduces a calibration constant correction method based on the ...
Xingxing Li   +4 more
semanticscholar   +1 more source

Mapping wave mechanisms in Gaofen-3 imagery at low incidence angles

Remote Sensing Letters
The novelty of this letter lies in preliminarily analysis of the wave mapping mechanism using Gaofen-3 (GF-3) acquired in extended wide (EW) mode at low incidence angle of 10–20°. In total, 35 Chinese GF-3 images in vertical-vertical (VV) were collocated
Yuyi Hu   +4 more
semanticscholar   +1 more source

FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition

Science China Information Sciences, 2020
Xiyue Hou   +5 more
semanticscholar   +1 more source

Built-up area mapping in China from GF-3 SAR imagery based on the framework of deep learning

, 2021
Fan Wu   +6 more
semanticscholar   +1 more source

Analysis Ready Data of the Chinese GaoFen Satellite Data

Remote Sensing, 2021
Bo Zhong, Aixia Yang, Qinhuo Liu
exaly  

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