Results 51 to 60 of about 13,257,208 (171)

Analysis of polarisation features of typical targets in Chengdu using GF-3 fully polarimetric synthetic aperture radar data

open access: yesThe Journal of Engineering, 2019
The fully polarimetric synthetic aperture radar (SAR) data contain much backscatter intensity information and have great advantage for land monitoring.
Xiaoxia Wang   +4 more
doaj   +1 more source

Semi-Empirical Algorithm for Wind Speed Retrieval from Gaofen-3 Quad-Polarization Strip Mode SAR Data [PDF]

open access: yes, 2020
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
core   +1 more source

Validation of Surface Waves Investigation and Monitoring Data against Simulation by Simulating Waves Nearshore and Wave Retrieval from Gaofen-3 Synthetic Aperture Radar Image

open access: yesRemote Sensing, 2023
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
doaj   +1 more source

Direct Ocean Surface Velocity Measurement for Chinese Gaofen-3 SAR Satellite [PDF]

open access: yes, 2021
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
core   +1 more source

Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry

open access: yesIEEE Access, 2019
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

open access: yes, 2020
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]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
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

Probabilistic Mangrove Species Mapping with Multiple-Source Remote-Sensing Datasets Using Label Distribution Learning in Xuan Thuy National Park, Vietnam

open access: yesRemote Sensing, 2020
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

Improvement and Assessment of the Absolute Positioning Accuracy of Chinese High-Resolution SAR Satellites

open access: yesRemote Sensing, 2019
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]

open access: yes, 2022
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

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