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星载线阵推扫式相机几何标定研究

Research on Geometric Calibration of Spaceborne Linear Array Whiskbroom Camera.

作者信息

Sheng Qinghong, Wang Qi, Xiao Hui, Wang Qing

机构信息

College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

University School of Environmental Science, Nanjing Xiaozhuang University, Nanjing 211171, China.

出版信息

Sensors (Basel). 2018 Jan 16;18(1):247. doi: 10.3390/s18010247.

DOI:10.3390/s18010247
PMID:29337885
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5795492/
Abstract

The geometric calibration of a spaceborne thermal-infrared camera with a high spatial resolution and wide coverage can set benchmarks for providing an accurate geographical coordinate for the retrieval of land surface temperature. The practice of using linear array whiskbroom Charge-Coupled Device (CCD) arrays to image the Earth can help get thermal-infrared images of a large breadth with high spatial resolutions. Focusing on the whiskbroom characteristics of equal time intervals and unequal angles, the present study proposes a spaceborne linear-array-scanning imaging geometric model, whilst calibrating temporal system parameters and whiskbroom angle parameters. With the help of the YG-14-China's first satellite equipped with thermal-infrared cameras of high spatial resolution-China's Anyang Imaging and Taiyuan Imaging are used to conduct an experiment of geometric calibration and a verification test, respectively. Results have shown that the plane positioning accuracy without ground control points (GCPs) is better than 30 pixels and the plane positioning accuracy with GCPs is better than 1 pixel.

摘要

对具有高空间分辨率和宽覆盖范围的星载热红外相机进行几何校准,可为反演地表温度提供准确地理坐标设定基准。使用线阵推扫式电荷耦合器件(CCD)阵列对地球成像的做法有助于获取具有高空间分辨率的大面积热红外图像。针对等时间间隔和不等角度的推扫特性,本研究提出了一种星载线阵扫描成像几何模型,同时校准时间系统参数和推扫角参数。借助YG - 14(中国首颗配备高空间分辨率热红外相机的卫星),分别利用中国安阳成像和太原成像进行几何校准实验和验证测试。结果表明,无地面控制点(GCP)时的平面定位精度优于30像素,有GCP时的平面定位精度优于1像素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/e9b4082bb13f/sensors-18-00247-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/b721900b6a90/sensors-18-00247-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/0eea75c8338d/sensors-18-00247-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/256e53a4eac5/sensors-18-00247-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/7c112fe7f0d2/sensors-18-00247-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/f276bb92f3a0/sensors-18-00247-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/c76341ac40a2/sensors-18-00247-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/639b8b31402a/sensors-18-00247-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/b99c0034f05f/sensors-18-00247-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/92e64a89afc1/sensors-18-00247-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/2e16e7a399f2/sensors-18-00247-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/e9b4082bb13f/sensors-18-00247-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/b721900b6a90/sensors-18-00247-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/0eea75c8338d/sensors-18-00247-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/256e53a4eac5/sensors-18-00247-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/7c112fe7f0d2/sensors-18-00247-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/f276bb92f3a0/sensors-18-00247-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/c76341ac40a2/sensors-18-00247-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/639b8b31402a/sensors-18-00247-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/b99c0034f05f/sensors-18-00247-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/92e64a89afc1/sensors-18-00247-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/2e16e7a399f2/sensors-18-00247-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb4/5795492/e9b4082bb13f/sensors-18-00247-g012a.jpg

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本文引用的文献

1
[Error analysis of the land surface temperature retrieval using HJ-1B thermal infrared remote sensing data].[基于HJ-1B热红外遥感数据的地表温度反演误差分析]
Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Dec;30(12):3359-62.
2
Invited article: High resolution digital camera for infrared reflectography.特邀文章:用于红外反射成像的高分辨率数码相机。
Rev Sci Instrum. 2009 Jul;80(7):071301. doi: 10.1063/1.3174431.