Results 1 to 10 of about 121,866 (92)
The GF-3 SAR Data Processor [PDF]
Sensors, 2018 The Gaofen-3 (GF-3) data processor was developed as a workstation-based GF-3 synthetic aperture radar (SAR) data processing system. The processor consists of two vital subsystems of the GF-3 ground segment, which are referred to as data ingesting ...
Bing Han +6 more
doaj +2 more sources
Bankline detection of GF-3 SAR images based on shearlet [PDF]
PeerJ Computer Science, 2021 The GF-3 satellite is China’s first self-developed active imaging C-band multi-polarization synthetic aperture radar (SAR) satellite with complete intellectual property rights, which is widely used in various fields.
Zengguo Sun +4 more
doaj +3 more sources
Block Adjustment without GCPs for Chinese Spaceborne SAR GF-3 Imagery [PDF]
Sensors, 2018 The Gaofen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) with the ability of high-accuracy mapping in China. However, the Ground Control Points (GCPs) are essential to ensure the accuracy of mapping for GF-3 SAR
Guo Zhang +9 more
doaj +2 more sources
A Three-Hierarchy Evaluation of Polarimetric Performance of GF-3, Compared with ALOS-2/PALSAR-2 and RADARSAT-2 [PDF]
Sensors, 2019 GaoFen-3 (GF-3) is the first Chinese civilian multi-polarization synthetic aperture radar (SAR) satellite, launched on 10 August of 2016, and put into operation at the end of January 2017.
Zezhong Wang +3 more
doaj +2 more sources
A Quality Assessment Method Based on Common Distributed Targets for GF-3 Polarimetric SAR Data [PDF]
Sensors, 2018 The GaoFen-3 (GF-3) satellite, launched on 10 August 2016, is the first C-band polarimetric synthetic aperture radar (PolSAR) satellite in China. The PolSAR system of GF-3 can collect a significant wealth of information for geophysical research and ...
Sha Jiang +3 more
doaj +2 more sources
Water Detection in Urban Areas from GF-3 [PDF]
Sensors, 2018 The rapid and accurate detection of urban water is critical for urban management, river detection, and flood disaster assessment. This study is devoted to detecting water by GaoFen-3 (GF-3) Synthetic Aperture Radar (SAR) images with high spatial ...
Xiaoyan Liu +5 more
doaj +2 more sources
Geo-Positioning Accuracy Improvement of Multi-Mode GF-3 Satellite SAR Imagery Based on Error Sources Analysis [PDF]
Sensors, 2018 The GaoFen-3 (GF-3) satellite is the only synthetic aperture radar (SAR) satellite in the High-Resolution Earth Observation System Project, which is the first C-band full-polarization SAR satellite in China.
Niangang Jiao +4 more
doaj +2 more sources
Leida xuebao, 2023 To refine the geometric parameters of satellite-based SAR images and improve the stereo positioning accuracy, a method of SAR elevation control point extraction combining multistrategy ATLAS data preference and image matching has been developed.
Yang YU +4 more
doaj +1 more source
International Journal of Digital Earth, 2022 The leaf area index (LAI) is an important agroecological physiological parameter affecting vegetation growth. To apply the genetic algorithms neural network model (GANNM) to the remote sensing inversion of winter wheat LAI throughout the growth cycle and
Xiaoping Lu +4 more
doaj +1 more source
Data Quality Evaluation of Sentinel-1 and GF-3 SAR for Wind Field Inversion
Remote Sensing, 2021 Synthetic aperture radar (SAR) is an important means to observe the sea surface wind field. Sentinel-1 and GF-3 are located on orbit SAR satellites, but the SAR data quality of these two satellites has not been evaluated and compared at present.
Yong Wan +4 more
doaj +1 more source