China's Gaofen-3 Satellite System and Its Application and Prospect

Zhao, Liangbo; Zhang, Qingjun; Li, Yan; Qi, Yalin; Yuan, Xiaojun; Liu, Jie; Li, Hangliang

doi:10.1109/jstars.2021.3122304

Cited by 25 publications

(10 citation statements)

References 33 publications

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“…Gaofen-3 can operate in 12 different imaging modes with a spatial resolution of 1-500 m and a swath width of 5-650 km [76]. As one of the most important satellites in China's Earth observation system, the design and manufacturing of the high-resolution, wide-swath, multi-polarization, and long-life SAR satellite system have overcome many difficulties [77]. In order to exploit the maximum azimuth steering capability of the GF-3 SAR system, spotlight experiments were performed after the satellite had been in operational mode [78], which further improved the resolution capability.…”

Section: Spaceborne Cf-sarmentioning

confidence: 99%

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

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The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result of the comprehensive practicality of SAR. The flight path of the SAR platform in real applications, which is highly nonlinear or curvy due to three-dimensional velocity and acceleration, cannot be described by the traditional uniform linear motion model. New mathematical models, signal characteristics, imaging algorithms, and system design criteria must be proposed and investigated for CF-SAR. This paper provides a comprehensive overview of CF-SAR. Firstly, the basic concept, unified model, and general signal characteristics of CF-SAR are defined, derived, and analyzed, respectively. Additionally, the advantages and drawbacks of current methodologies are reviewed. Discussions on the CF-SAR’s applications are presented from the perspective of typical platforms, new configurations, and advanced technologies, which are suitable means to fulfill the increasing user requirements. Finally, the challenges faced by CF-SAR are summarized, and some future trends for the study of CF-SAR are explored. Hopefully, this paper will serve as a reference for SAR researchers/engineers and stimulate the future development and actual application of CF-SAR.

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Section: Spaceborne Cf-sarmentioning

confidence: 99%

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

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“…Some of them are shown in Figure 4. The training data for two-channel matching network was based on QXS-SAROPT dataset [43], which consists of 20,000 pairs of optical and SAR remote sensing images acquired by Google Earth satellite and the Gaofen-3 SAR satellite [44]. To enable the network to learn more detailed image patch information, we randomly selected and cropped this dataset to obtain 80,000 pairs of optical and SAR image patches of size 32 × 32 as the training data.…”

Section: Training Datasetmentioning

confidence: 99%

PM-Net: A Multi-Level Keypoints Detector and Patch Feature Learning Network for Optical and SAR Image Matching

Chen

2022

Applied Sciences

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Due to the differences in radiation and geometric characteristics of optical and synthetic aperture radar (SAR) images, there is still a huge challenge for accurate matching. In this paper, we propose a patch-matching network (PM-Net) to improve the matching performance of optical and SAR images. First, a multi-level keypoints detector (MKD) with fused high-level and low-level features is presented to extract more robust keypoints from optical and SAR images. Second, we use a two-channel network structure to improve the image patch matching performance. Benefiting from this design, the proposed method can directly learn the similarity between optical and SAR image patches without manually designing features and descriptors. Finally, the MKD and two-channel net-work are trained separately on GL3D and QXS-SAROPT data sets, and the PM-Net is tested on multiple pairs of optical and SAR images. The experimental results demonstrate that the proposed method outperforms four advanced image matching networks on qualitative and quantitative assessments. The quantitative experiment results show that using our method correct matching points numbers are increased by more than 1.15 times, the value of F1-measure is raised by an average of 7.4% and the root mean squared error (RMSE) is reduced by more than 15.3%. The advantages of MKD and the two-channel network are also verified through ablation experiments.

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“…Earth observation of remote sensing satellites (RSSs) plays an important role in environmental monitoring, disaster emergency rescue, and smart city construction [1], [2]. With the development of RSSs, high-resolution and wide-range imaging results in a rapid increase of observation data amount.…”

Section: Introductionmentioning

confidence: 99%

Link Topology and Multi-Objective Mission Flow Optimization for User Satellites with Inter-Layer Links and Satellite-Ground Links

Zhong,

Guo,

Wang

et al. 2024

Preprint

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In the future Space Information Network (SIN), remote sensing satellites (RSSs) can access communication constellations (CC) and ground stations (GSs) through inter-layer links (ILLs) and satellite-ground links (SGLs) to realize the timely transmission of large amounts of observation data. In this paper, we study the link topology of both ILLs and SGLs with different time slot durations from the perspective of each RSS based on the time-expanded graph. We propose a multi-objective mission flow optimization model to jointly achieve transmission benefits maximization, end-of-period energy maximization, and transmission wait time minimization. This model considers missions’ importance differences under limited storage, energy, and link bandwidth resources. To reduce the solving complexity, we propose a Phased Multi-Objective (PMO) algorithm composed of two Integer Linear Programming (ILP) problems and one Linear Programming (LP) problem to separate the integer programming part from the continuous part. A Multi-Objective Mixed Integer Linear Programming (MO-MILP) model is also formulated for comparison. We simulate the proposed methods in different scale SIN with practical parameters referred to the SAR satellites. The results indicate that observation data can be transmitted in near real-time with adequate bandwidth of ILLs. PMO can achieve multiple objectives and is applicable in large-scale constellation systems.

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China's Gaofen-3 Satellite System and Its Application and Prospect

Cited by 25 publications

References 33 publications

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

PM-Net: A Multi-Level Keypoints Detector and Patch Feature Learning Network for Optical and SAR Image Matching

Link Topology and Multi-Objective Mission Flow Optimization for User Satellites with Inter-Layer Links and Satellite-Ground Links

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