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首页> 外文期刊>International journal of remote sensing >In-flight absolute calibration of an airborne wide-view multispectral imager using a reflectance-based method and its validation
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In-flight absolute calibration of an airborne wide-view multispectral imager using a reflectance-based method and its validation

机译:使用基于反射率的方法对机载广角多光谱成像仪进行飞行中绝对校准及其验证

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摘要

The wide-view multispectral imager (WVMI) is the main instrument carried on an unmanned vehicle in the Unmanned Vehicle Payloads Comprehensive Calibration Campaign, which focuses on the calibration and validation of various remote-sensing sensors, including multispectral and hyperspectral sensors. In order to calibrate the WVMI, we designed and deployed a set of six radiometric calibration targets with nominal reflectances of 4%, 20%, 30%, 40%, 50%, and 60% and a set of four radiometric validation targets, the reflectance spectra of which vary dramatically with wavelength. The results reveal a good linear relationship between the digital number (DN) of each sensor and the apparent radiances. Further analysis of data from the validation targets reveals that both spectral unevenness and low reflectance will lead to incurrence of errors in calculations using the calibration equation. This suggests a potential problem that needs to be addressed in the remote sensing of vegetation.
机译:宽视角多光谱成像仪(WVMI)是无人驾驶车辆有效载荷综合校准运动中无人驾驶车辆上的主要仪器,其重点是各种遥感传感器(包括多光谱和高光谱传感器)的校准和验证。为了校准WVMI,我们设计和部署了一套六个辐射标定目标,标称反射率为4%,20%,30%,40%,50%和60%,以及一套四个辐射定标目标。反射光谱随波长变化很大。结果表明每个传感器的数字(DN)与视在辐射率之间具有良好的线性关系。对来自验证目标的数据的进一步分析表明,光谱不均和低反射率都将导致使用校准方程进行计算时出现误差。这表明在植被遥感中需要解决的潜在问题。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第6期|1995-2005|共11页
  • 作者单位

    School of Earth and Space Science, Peking University, Beijing 100871, PR China Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA Institute of RS & GIS, Peking University, Beijing 100871, PR China Beijing Key Lab of Spatial Information Integration and its Applications, Peking University, Beijing 100871, PR China;

    School of Earth and Space Science, Peking University, Beijing 100871, PR China Institute of RS & GIS, Peking University, Beijing 100871, PR China Beijing Key Lab of Spatial Information Integration and its Applications, Peking University, Beijing 100871, PR China;

    Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA State Key Laboratory of Earth Surface Processes and Resource Ecology, GCESS, Beijing Normal University, Beijing 100875, China;

    School of Earth and Space Science, Peking University, Beijing 100871, PR China Institute of RS & GIS, Peking University, Beijing 100871, PR China Beijing Key Lab of Spatial Information Integration and its Applications, Peking University, Beijing 100871, PR China;

    School of Earth and Space Science, Peking University, Beijing 100871, PR China Institute of RS & GIS, Peking University, Beijing 100871, PR China Beijing Key Lab of Spatial Information Integration and its Applications, Peking University, Beijing 100871, PR China;

    NASA Goddard Space Flight Center, Code 618, Biospheric Sciences Laboratory, Greenbelt, MD 20771, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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