Results 61 to 70 of about 713 (127)

Decimeter-Level Geolocation Accuracy Updated by a Parametric Tropospheric Model with GF-3

Sensors, 2018
GaoFen-3 (GF-3) is a multi-polarization C-band synthetic aperture radar (SAR) satellite in China with a resolution of up to 1 m. Up to now, the geolocation accuracy of GF-3 could be improved to 3 m. According to the current study, there still exist meter-
Wentao Wang, Jiayin Liu, Xiaolan Qiu
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Wind vector retrieval from Gaofen-3 SAR imagery using the method of iterative line fitting in image power spectrum domain

All Earth
The Gaofen-3 (GF-3) is a Chinese Synthetic Aperture Radar (SAR) satellite primarily designed for monitoring marine dynamic environments. Compared to spaceborne scatterometers, it can monitor sea surface wind fields with higher spatial resolution ...
Xuetong Xie, Jinlan Zhang, Yan Zheng, Kehai Chen   +3 more
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea

Ecological Informatics
Satellite-derived bathymetry (SDB) has emerged as a critical technique in response to the growing demand for large-scale coastal bathymetric mapping. However, high-resolution multispectral imagery from Gaofen satellites presents significant challenges ...
Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan   +4 more
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Block Adjustment without GCPs for Chinese Spaceborne SAR GF-3 Imagery

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, Qingwei Wu, Taoyang Wang, Ruishan Zhao, Mingjun Deng, Boyang Jiang, Xin Li, Huabin Wang, Yu Zhu, Fangting Li   +9 more
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TerraSegNet: Bilateral Axial Attention Network for Remote Sensing Image Segmentation in Diverse Environmental Monitoring Applications

IEEE Access
Semantic segmentation is crucial for environmental monitoring by enabling precise land cover mapping and change detection from satellite imagery. Although recent advances in deep learning have significantly improved segmentation performance, most ...
Bagus Setyawan Wijaya, Rinaldi Munir, Nugraha Priya Utama   +2 more
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Robust boundary extraction of great lakes by blocking Active Contour Model using Chinese GF-3 SAR data: a case study of Danjiangkou reservoir, China

The Journal of Engineering, 2019
Chinese Gaofen-3 (GF-3) satellite is a spaceborne multi-polarisation synthetic aperture radar (SAR) mission in C-band and it can be applied in the multiple fields. GF-3 can achieve accurate water boundary extraction based on its high-resolution SAR image
Shilin Niu, Ning Li, Zhengwei Guo, Robert Wang, Yuexiu Guo, Lin Wu, Jianhui Zhao   +6 more
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A Novel Ship Detection Method Based on Gradient and Integral Feature for Single-Polarization Synthetic Aperture Radar Imagery

Sensors, 2018
With the rapid development of remote sensing technologies, SAR satellites like China’s Gaofen-3 satellite have more imaging modes and higher resolution.
Hao Shi, Qingjun Zhang, Mingming Bian, Hangyu Wang, Zhiru Wang, Liang Chen, Jian Yang   +6 more
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DSM Quality Assessment of GF-7 Satellite [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Gaofen-7 (GF-7) satellite was launched on November 3, 2019. It can achieve 1:10000 scale stereo mapping and serve the application needs of basic surveying and mapping, natural resources monitoring and geographic information resource construction ...
P. Tian, P. Tian, P. Tian, P. Tian, X. Tang, X. Zhu, D. Qu, J. Ding, J. Ding, J. Ding, J. Ding, Y. Li   +11 more
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Estimating Gully Erosion Induced by Heavy Rainfall Events Using Stereoscopic Imagery and UAV LiDAR

Remote Sensing
Gully erosion, driven by the interplay of natural processes and human activities, results in severe soil degradation and landscape alteration, yet approaches for accurately quantifying erosion triggered by extreme precipitation using multi-source high ...
Lu Wang, Yuan Qi, Wenwei Xie, Rui Yang, Xijun Wang, Shengming Zhou, Yanqing Dong, Xihong Lian   +7 more
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Retrieval of soil moisture based on Gaofen-3 (GF-3) satellite synthetic aperture radar data over agricultural fields

浙江大学学报. 农业与生命科学版
Soil moisture is the basic condition for crop growth. A new retrieval algorithm for soil moisture was proposed based on C-band synthetic aperture radar (SAR) data from Gaofen-3 (GF-3) satellite, and soil moisture of agricultural fields with a regional scale spatial resolution of 8 m was obtained.
ZHANG Linlin, LEI Zhibin, WANG Liping, MENG Qingyan, ZENG Jiangyuan   +4 more
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