Results 151 to 160 of about 13,257,208 (171)

Mountainous Landslide Recognition Based on Gaofen-3 Polarimetric SAR Imagery

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Full-polarimetric SAR image is very useful for the landslide monitoring especially in the well vegetation-covered mountainous region. GaoFen-3 (GF-3) is the first civil C-band fully polarimetric SAR satellite in China. In order to test the ability of GF-3 full-polarimetric SAR data on landslide monitoring, 2 cases of mountainous landslide in ...
Yi Ding, Ming Liu, Suju Li, Dan Jia, Lei Zhou, Bin Wu, Yani Wang   +6 more
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Reliability Design for Gaofen-3 Satellite Phased Array Antenna

2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2019
The 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, Zhao Xuhao, Ren Bo, Li Shuliang, Zhang Jinping   +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, 2022
Currently, 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, Lei Zhang 0193, Zhimin Zhang 0001, Weidong Yu, Yunkai Deng   +4 more
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Gaofen-3 sea ice detection based on deep learning

2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017
Sea 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, Chao Wang, Shigang Wang, Hong Zhang, Qiaoyan Fu, Yuanyuan Wang   +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, 2018
On 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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Multiple mode SAR raw data simulation for GaoFen-3 mission evaluation

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
GaoFen-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, Hanyuan Tang, Qiang Yin 0001, Jiayin Liu, Xiaolan Qiu, Yuxin Hu   +5 more
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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, 2019
ScanSAR 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, Wei Yang 0004, Jie Chen 0009, Chunsheng Li, Fei Zou, Yu Guo   +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, 2018
Significant 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, He Wang 0005, Weizeng Shao, Jianhua Zhu, Xinzhe Yuan   +4 more
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Wind Direction Retrieval of Ocean/Desert With Gaofen-3 Data

2022 3rd China International SAR Symposium (CISS), 2022
Zishuai Ren, Rui Gao, Rui Guo
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Multimode Gaofen-3 product long-term geolocation accuracy performance

Journal of Applied Remote Sensing, 2022
Mingjun Deng, Di Wang, Xin Liu, Zhengpeng Zhang, Yin Yang   +4 more
openaire   +1 more source