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高分三号合成孔径雷达数据处理器

The GF-3 SAR Data Processor.

作者信息

Han Bing, Ding Chibiao, Zhong Lihua, Liu Jiayin, Qiu Xiaolan, Hu Yuxin, Lei Bin

机构信息

Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, Chinese Academy of Sciences, Beijing 100190, China.

Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Sensors (Basel). 2018 Mar 10;18(3):835. doi: 10.3390/s18030835.

DOI:10.3390/s18030835
PMID:29534464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5876876/
Abstract

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 subsystem (DIS) and product generation subsystem (PGS). The primary purpose of DIS is to record and catalogue GF-3 raw data with a transferring format, and PGS is to produce slant range or geocoded imagery from the signal data. This paper presents a brief introduction of the GF-3 data processor, including descriptions of the system architecture, the processing algorithms and its output format.

摘要

高分三号(GF-3)数据处理器是作为基于工作站的GF-3合成孔径雷达(SAR)数据处理系统而开发的。该处理器由GF-3地面段的两个重要子系统组成,分别称为数据摄取子系统(DIS)和产品生成子系统(PGS)。DIS的主要目的是以传输格式记录和编目GF-3原始数据,而PGS则是从信号数据中生成斜距或地理编码图像。本文简要介绍了GF-3数据处理器,包括系统架构、处理算法及其输出格式的描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/221525c8f7e5/sensors-18-00835-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/c4c45e1a366e/sensors-18-00835-g0A1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/b6c0aa92c4e5/sensors-18-00835-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/9f63ad7af5f7/sensors-18-00835-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/0b6d64313496/sensors-18-00835-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/d8b9f71d8a88/sensors-18-00835-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/b3ee273ab2e1/sensors-18-00835-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/3c49fabae1fe/sensors-18-00835-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/114b343b772f/sensors-18-00835-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/74f5e4520b99/sensors-18-00835-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/e7fcc30e7be5/sensors-18-00835-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/221525c8f7e5/sensors-18-00835-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/c4c45e1a366e/sensors-18-00835-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/f911dd21eb65/sensors-18-00835-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/ab8820404b8d/sensors-18-00835-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/4350bd542123/sensors-18-00835-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/b6c0aa92c4e5/sensors-18-00835-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/9f63ad7af5f7/sensors-18-00835-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/0b6d64313496/sensors-18-00835-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/d8b9f71d8a88/sensors-18-00835-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/b3ee273ab2e1/sensors-18-00835-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/3c49fabae1fe/sensors-18-00835-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/114b343b772f/sensors-18-00835-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/74f5e4520b99/sensors-18-00835-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/e7fcc30e7be5/sensors-18-00835-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb24/5876876/221525c8f7e5/sensors-18-00835-g013.jpg

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本文引用的文献

1
The SAR Payload Design and Performance for the GF-3 Mission.高分三号卫星任务的合成孔径雷达(SAR)有效载荷设计与性能
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2
Unambiguous Imaging of Static Scenes and Moving Targets with the First Chinese Dual-Channel Spaceborne SAR Sensor.利用首个中国双通道星载合成孔径雷达传感器对静态场景和移动目标进行清晰成像。
Sensors (Basel). 2017 Jul 25;17(8):1709. doi: 10.3390/s17081709.
高分三号卫星非同步重复轨道 SAR 干涉处理。
Sensors (Basel). 2019 Oct 28;19(21):4689. doi: 10.3390/s19214689.
4
A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance.基于散射特性和修正的 Wishart 距离的极化 SAR 图像分割算法。
Sensors (Basel). 2018 Jul 13;18(7):2262. doi: 10.3390/s18072262.