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基于滤光片转轮式多光谱相机的辐射校正

  • 刘扬 ,
  • 方俊永 ,
  • 刘学 ,
  • 王潇 ,
  • 张晓红
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  • 1. 中国科学院空天信息创新研究院, 北京 100094;
    2. 中国科学院大学电子电气与通信工程学院, 北京 100049

收稿日期: 2022-06-28

  修回日期: 2022-11-03

  网络出版日期: 2022-11-03

基金资助

中国科学院仪器设备功能开发技术创新项目资助

Radiometric correction of multispectral camera based on filter wheel

  • LIU Yang ,
  • FANG Junyong ,
  • LIU Xue ,
  • WANG Xiao ,
  • ZHANG Xiaohong
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  • 1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2022-06-28

  Revised date: 2022-11-03

  Online published: 2022-11-03

摘要

针对近地面多光谱影像获取方式单一、波段配准及数据定量化等问题,介绍一款可野外连续工作、操作简单、波段易配准的自研滤光片转轮式多光谱相机,并通过实验室内高精度积分球完成相对辐射校正和绝对辐射定标。采用多级亮度定标法和经验线性法建立校正模型,对多光谱相机多波段响应不均问题进行校正,并标定计算得到入瞳处的波谱辐射亮度。设计了不同亮度、不同积分时间的数据采集和处理实验,给出这款新相机各波段的最优积分时间范围。辐射校正和定标结果显示,所选校正系数对不同成像条件的多光谱影像具有高度的稳定性和可靠性,适合滤光片转轮式多光谱相机的辐射校正,定标结果可用于定量反演地表的目标参量,在农作物监测、环境监测与保护等领域具有广阔的应用前景。

本文引用格式

刘扬 , 方俊永 , 刘学 , 王潇 , 张晓红 . 基于滤光片转轮式多光谱相机的辐射校正[J]. 中国科学院大学学报, 2024 , 41(5) : 636 -643 . DOI: 10.7523/j.ucas.2022.083

Abstract

Aiming at the problems of limited acquisition method, band registration, and data quantification of near-surface multispectral images, this paper introduces a self-developed filter wheel multispectral camera that can work continuously in the field, has simple operation and easy band registration, and completes relative radiometric correction and absolute radiometric calibration with high-precision integrating sphere in the laboratory. The multi-stage brightness calibration method and empirical linear method are used to establish a calibration model to correct the uneven response of multi-band multispectral camera and calculate the spectral radiation brightness at the pupil. In this paper, we design data acquisition and processing experiments of different brightness and integration time, and give the optimal integration time range for each band of the new camera. The results of radiometric correction and calibration show that the selected correction coefficient has high stability and reliability for multispectral images under different imaging conditions, and is suitable for radiometric correction of filter wheel-type multispectral cameras. The calibration results can be used to quantitatively retrieve the target parameters of the land surface, which has broad application prospects in the fields of crop monitoring, environmental monitoring and protection.

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