Results 31 to 40 of about 1,035 (137)

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

The 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, Wei Zhang, Qing Ding, Changli Zheng, Jinghui Luo   +4 more
doaj   +1 more source

Application and Evaluation of the Gaofen-3 Satellite on a Terrain Survey with InSAR Technology

Applied Sciences, 2020
The Gaofen-3 satellite is the first SAR satellite independently developed in China that achieves interferometric imaging and measurement, which improves upon Chinese civil SAR satellite data.
Yuzhi Zheng, Zhenwei Chen, Guo Zhang
doaj   +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

Remote 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, Weizeng Shao, Shaohua Shi, Xing Liu, Yuyi Hu, Juncheng Zuo   +5 more
doaj   +1 more source

Polarimetric Calibration of the GaoFen-3 Mission Using Active Radar Calibrators and the Applicable Conditions of System Model for Radar Polarimeters

Remote Sensing, 2019
GaoFen-3, the first polarimetric SAR satellite of China, carried out polarimetric calibration experiments using C-band polarimetric active radar calibrators (PARCs), trihedral corner reflectors (TCRs), and dihedral corner reflectors (DCRs).
Weibin Liang, Zengzeng Jia, Xiaolan Qiu, Jun Hong, Qingjun Zhang, Bin Lei, Fan Zhang, Zhaoguo Deng, Aichun Wang   +8 more
doaj   +1 more source

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

IEEE 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, Yue Wang, Qingjun Zhang, Yu Zhu, Yue Zhang, Mingming Bian   +5 more
doaj   +1 more source

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

Remote 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

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 ...
Junsh Xia, Naoto Yokoya, Bruno Adriano, Lianchong Zhang, Guoqing Li, Zhigang Wang   +5 more
openaire   +2 more sources

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

Remote 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, Guo Zhang, Chenglin Cai, Kai Xu, Ruishan Zhao, Fengchen Guo, Jing Suo   +6 more
doaj   +1 more source

An Epipolar HS-NCC Flow Algorithm for DSM Generation Using GaoFen-3 Stereo SAR Images

Remote Sensing, 2022
Radargrammetry is a widely used methodology to generate the large-scale Digital Surface Model (DSM). Stereo matching is the most challenging step in radargrammetry due to the significant geometric differences and the inherent speckle noise.
Jian Wang, Xiaolei Lv, Zenghui Huang, Xikai Fu   +3 more
doaj   +1 more source

Polarization-Enhancement Effects for the Retrieval of Significant Wave Heights from Gaofen-3 SAR Wave Mode Data

Remote Sensing, 2023
In order to investigate the impact of utilizing multiple pieces of polarization information on the performance of significant wave height (SWH) estimation from Gaofen-3 SAR data, the extreme gradient boosting (XGBoost) models were developed, validated ...
Qiushuang Yan, Chenqing Fan, Tianran Song, Jie Zhang   +3 more
doaj   +1 more source