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沈欣

硕士生导师
教师姓名:沈欣
教师英文名称:Shen Xin
教师拼音名称:Shen Xin
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入职时间:2021-01-01
所在单位:测绘遥感信息工程全国重点实验室
学历:博士研究生毕业
性别:男
职称:高级实验师
在职信息:在职
毕业院校:武汉大学
学科:摄影测量与遥感    
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On-Orbit Relative Radiometric Calibration of the Bayer Pattern Push-Broom Sensor for Zhuhai-1 Video Satellites
发布时间:2026-07-14    点击次数:

发表刊物:REMOTE SENSING

关键字:Bayer pattern calibration,Bayer push-broom imaging,relative radiometric calibration,Zhuhai-1

摘要:The two video satellites of the second and third batch of Zhuhai-1 microsatellites (referred to as OVS-2A/3A) are operational with their hyperspectral satellites, which improves the data acquisi-tion capability of the Zhuhai-1 remote sensing satellite constellation. Contrary to the linear array push-broom hyperspectral satellites and plane array CCD video satellites, the OVS satellite is equipped with a planar array Bayer pattern sensor, which can obtain single-band grayscale images by push-broom imaging. Additionally, the Bayer color reconstruction algorithm can interpolate sensor data to provide RGB color band information. Therefore, for the Bayer pattern push-broom sensor, the relative calibration method of linear push-broom or array cameras cannot be directly applied. The radiometric calibration of the Bayer pattern push-broom imaging mode has become a matter of concern; therefore, this study developed a radiometric calibration method for the Bayer pattern push-broom sensor of the OVS satellite and verified its effectiveness and accuracy. OVS images were used to perform on-orbit relative radiometric calibration, and the calibration accu-racy, including streaking metrics and root-mean-square error, was better than 1%, meeting the specification requirements for the OVS satellite. Visually, after calibration correction, the streaking and striping noise of the Bayer images was removed, and the radiometric quality of the image was considerably improved, providing a good data basis for subsequent research in remote sensing applications.

论文类型:期刊论文

通讯作者:Li, Litao;Li, Zhen;Wang, Zhixin;Jiang, Yonghua;Shen, Xin;Wu, Jiaqi

论文编号:WOS_79bc1ac0-dbe7-4f75-8db5-0ade86277c9b

卷号:15

期号:2

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发表时间:2025-06-14