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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Scene statistics based calibration of remote sensing instruments
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Scene statistics based calibration of remote sensing instruments

机译：基于场景统计的遥感仪器标定

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摘要

A variety of spaceborne remote sensing instruments achieve wide-area coverage with only a small number of detectors, by using a cross-track scanning mechanism and satellite motion to provide extended coverage. Errors in the detectors' relative calibrations result in stripes in the images acquired by these instruments. This letter presents a general approach for equalizing the detector responses, based on scene statistics. For the case where the detector response functions are predominantly linear, with a small quadratic component, a complete set of equations for implementing the statistics-based calibration is also presented. The resulting algorithm has been tested with application to a few select Earth scenes from the Moderate Resolution Imaging Spectroradiometer, and the quality of the resulting calibration functions is discussed. Based on the mathematical formulation and intuitive reasoning, recommendations are offered for selecting scenes that are suitable for determining the detectors' relative calibrations with validity across the full dynamic range of the instrument.
机译：通过使用跨轨扫描机制和卫星运动来提供扩展的覆盖范围，各种各样的星载遥感仪器仅用少量的探测器即可实现大范围覆盖。检测器的相对校准误差会导致这些仪器采集的图像出现条纹。这封信提出了一种基于场景统计信息来均衡探测器响应的通用方法。对于检测器响应函数主要是线性的且具有小的二次分量的情况，还介绍了用于实现基于统计的校准的完整方程组。已对所得算法进行了测试，并将其应用于从中等分辨率成像光谱仪中选择的一些地球场景，并讨论了所得校准功能的质量。基于数学公式和直观的推理，可提供建议，以选择适合在整个仪器动态范围内有效确定检测器相对校准的场景。

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