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Reliability Design for Gaofen-3 Satellite Phased Array Antenna
2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2019The Gaofen-3 satellite is a polarimetric SAR working in C band with high SAR imaging resolution. Moreover, it is also the first C band remote sensing satellite designed up to 8 years life. The active phased antenna of the SAR is capable of scanning in two principal planes. The antenna array is composed of four panels and 24 modules totally.
Guo Qing +4 more
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On the Processing of Gaofen-3 Spaceborne Dual-Channel Sliding Spotlight SAR Data
IEEE Transactions on Geoscience and Remote Sensing, 2022Currently, in the spaceborne synthetic aperture radar (SAR) community, the sliding spotlight mode has been widely applied to achieve high-resolution imaging. However, limited by the system pulse repetition frequency (PRF), it is usually impossible to realize a large-scale coverage at the same time.
Huaitao Fan +4 more
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Gaofen-3 sea ice detection based on deep learning
2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017Sea ice detection is one of the most important applications in synthetic aperture radar (SAR) image processing and it always be served for ship navigation and climate change studies. Due to the noise, low resolution and multiple characteristics of SAR images, and limitations of traditional SAR image classification methods, the detection accuracy of ...
Jinxin Li +5 more
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Comparison of Gaofen-3 and Radarsat-2 Data for Polarimetric Sar Image Classification
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018On 10 August 2016 China launched the GF-3, its first C-band polarimetric synthetic aperture radar (SAR) satellite, which was put into operation at the end of January, 2017. The GF-3 polarimetric SAR has many advantages such as high resolution and multi-polarization imaging capabilities.
Junjun Yin 0001, Jian Yang 0011
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A Modified Kalman-Filter Method for Scalloping Suppression with Gaofen-3 SAR Images
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019ScanSAR images are widely used in both military and civil fields with the capability of wide swath. However, the scalloping effect seriously affects the quality of scanSAR images, especially in the complex scenes, e.g. the sea-land junction scene. This paper presents a modified Kalman-filter method for scalloping suppression.
Yihan Li +5 more
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IEEE Transactions on Geoscience and Remote Sensing, 2021
The Chinese Gaofen-3 satellite currently provides us with an open way to access fully polarimetric data in the C-band frequency. The noise equivalent sigma zero (NESZ) is a crucial factor when calibrating the additive noise in radar imagery. For most radar sensors, NESZ coefficients are stored in header files, but these are not provided for the Gaofen ...
Lei Shi 0005 +5 more
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The Chinese Gaofen-3 satellite currently provides us with an open way to access fully polarimetric data in the C-band frequency. The noise equivalent sigma zero (NESZ) is a crucial factor when calibrating the additive noise in radar imagery. For most radar sensors, NESZ coefficients are stored in header files, but these are not provided for the Gaofen ...
Lei Shi 0005 +5 more
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Multiple mode SAR raw data simulation for GaoFen-3 mission evaluation
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017GaoFen-3 is China's first meter-level multi-polarization Synthetic Aperture Radar (SAR) satellite with scientific and commercial applications, which was developed by the China Academy of Space Technology (CAST) and had been launched in August, 2016.
Fan Zhang 0007 +5 more
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Significant Wave Height Retrieval from Gaofen-3 Wave Mode Images
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Significant wave height $(H_{s})$ , is an important parameter, represented as the integration of directional wave spectra. Although many researchers have directly extracted $H_{s}$ from SAR images and got a great accuracy of retrieval, those approaches are not suitable for GF-3 SAR data. In this paper, we propose an empirical approach for SAR $H_{s}
Jing Wang +4 more
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Wind Direction Retrieval of Ocean/Desert With Gaofen-3 Data
2022 3rd China International SAR Symposium (CISS), 2022Zishuai Ren, Rui Gao, Rui Guo
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China’s GaoFen-3 Mission: A review
IEEE Geoscience and Remote Sensing MagazineZhibin Wang +8 more
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