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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Potential of Getis statistics to characterize the radiometric uniformity and stability of test sites used for the calibration of Earth observation sensors
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Potential of Getis statistics to characterize the radiometric uniformity and stability of test sites used for the calibration of Earth observation sensors

机译:Getis统计数据可用于表征用于校准地球观测传感器的测试站点的辐射均匀性和稳定性

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摘要

The calibration of airborne and satellite remote sensing sensors is a fundamental step for the rigorous validation of products derived from satellite data. Because of the inaccessibility of Earth Observation Satellites on orbit, the direct calibration method based on a test site with ground reference data is often considered necessary. However, the problem of radiometric spatial uniformity and temporal stability of test sites constitutes an important issue in the accuracy achieved in calibration operations and the long-term characterization of satellite sensor radiometry. Generally, the coefficient of variation and semivariograms are the most widely used tools for evaluating the radiometric uniformity and stability of a calibration site. In this study, we analyze for the first time the potential of Getis statistics compared to the coefficient of variation for the study of the radiometric spatial uniformity and temporal stability of the Lunar Lake Playa, Nevada (LLPN) test site. The results obtained show the potential and the importance of the synergy generated by these two methods for analyzing the radiometric temporal stability of the LLPN site. Getis statistics provide an excellent spatial analysis of the site while the coefficient of variation provides complementary information on the temporal evolution of the site.
机译:机载和卫星遥感传感器的校准是对卫星数据衍生产品进行严格验证的基本步骤。由于地球观测卫星在轨道上难以接近,因此通常认为基于具有地面参考数据的测试地点的直接校准方法是必要的。但是,辐射度的空间均匀性和测试地点的时间稳定性问题在校准操作的精度和卫星传感器辐射度的长期表征方面构成了重要的问题。通常,变异系数和半变异函数图是用于评估校准站点的辐射均匀性和稳定性的最广泛使用的工具。在这项研究中,我们首次分析了与变异系数相比,用于研究内华达州月球湖普拉亚(LLPN)测试地点的辐射空间均匀性和时间稳定性的Getis统计数据的潜力。获得的结果显示了通过这两种方法分析LLPN站点辐射时间稳定性的协同作用的潜力和重要性。 Getis统计数据可对站点进行出色的空间分析,而变异系数可提供有关站点时间演变的补充信息。

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