Results 51 to 60 of about 13,257,208 (171)
The fully polarimetric synthetic aperture radar (SAR) data contain much backscatter intensity information and have great advantage for land monitoring.
Xiaoxia Wang +4 more
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Semi-Empirical Algorithm for Wind Speed Retrieval from Gaofen-3 Quad-Polarization Strip Mode SAR Data [PDF]
Synthetic aperture radar (SAR) is a suitable tool to obtain reliable wind retrievals with high spatial resolution. The geophysical model function (GMF), which is widely employed for wind speed retrieval from SAR data, describes the relationship between ...
Yuan, Xinzhe +4 more
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The Chinese-French Oceanography SATellite (CFOSAT) jointly developed by the Chinese National Space Agency (CNSA) and the Centre National d’Etudes Spatiales (CNES) of France carries a wave spectrometer (Surface Waves Investigation and Monitoring, SWIM ...
Mengyu Hao +5 more
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Direct Ocean Surface Velocity Measurement for Chinese Gaofen-3 SAR Satellite [PDF]
Spaceborne Synthetic Aperture Radar (SAR) is one important way to obtain the information of ocean surface velocity. The Doppler Centroid Anomaly (DCA) estimation, which obtain the radical velocity based on the difference between the ...
Liu, Jie +11 more
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In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented.
Lixiang Ma +5 more
doaj +1 more source
Co-seismic deformation of the 2017Ms7.0 Jiuzhaigou Earthquake observed with GaoFen-3 interferometry
The first application of GaoFen-3 synthetic aperture radar (SAR) interferometry to monitoring co-seismic deformation of an earthquake is presented in this paper. First, two GaoFen-3 SAR images spanning the 2017 surface-wave magnitude ((Formula presented.)
Zheng, Yueze +6 more
core +1 more source
Object-Level Semantic Segmentation on the High-Resolution Gaofen-3 FUSAR-Map Dataset [PDF]
Land cover classification with SAR images mainly focuses on the utilization of fully polarimetric SAR (PolSAR) images. The conventional task of PolSAR classification is single-pixel-based region-level classification using polarimetric target decomposition.
Xianzheng Shi +4 more
openaire +2 more sources
Mangrove forests play an important role in maintaining water quality, mitigating climate change impacts, and providing a wide range of ecosystem services. Effective identification of mangrove species using remote-sensing images remains a challenge.
Junshi Xia, Naoto Yokoya, Tien Dat Pham
doaj +1 more source
In recent years, China has launched YaoGan-13 and GaoFen-3, high-resolution synthetic aperture radar (SAR) satellites that can acquire global high-resolution images.
Mingjun Deng +6 more
doaj +1 more source
SAR4LCZ-Net: A Complex-Valued Convolutional Neural Network for Local Climate Zones Classification Using Gaofen-3 Quad-Pol SAR Data [PDF]
The recent local climate zones (LCZ) classification scheme provides spatially fine granular descriptions of inner-urban morphology. It is universally applicable to cities worldwide and capable of supporting various urban studies.
Wang, Yuanyuan +5 more
core +1 more source

