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Radiometric Characterization of Hyperspectral Imagers using Multispectral Sensors

机译:使用多光谱传感器的高光谱成像仪的辐射表征

摘要

The Remote Sensing Group (RSG) at the University of Arizona has a long history of using ground-based test sites for the calibration of airborne and satellite based sensors. Often, ground-truth measurements at these test sites are not always successful due to weather and funding availability. Therefore, RSG has also automated ground instrument approaches and cross-calibration methods to verify the radiometric calibration of a sensor. The goal in the cross-calibration method is to transfer the calibration of a well-known sensor to that of a different sensor, This work studies the feasibility of determining the radiometric calibration of a hyperspectral imager using multispectral a imagery. The work relies on the Moderate Resolution Imaging Spectroradiometer (M0DIS) as a reference for the hyperspectral sensor Hyperion. Test sites used for comparisons are Railroad Valley in Nevada and a portion of the Libyan Desert in North Africa. Hyperion bands are compared to MODIS by band averaging Hyperion's high spectral resolution data with the relative spectral response of M0DlS. The results compare cross-calibration scenarios that differ in image acquisition coincidence, test site used for the calibration, and reference sensor. Cross-calibration results are presented that show agreement between the use of coincident and non-coincident image pairs within 2% in most brands as well as similar agreement between results that employ the different MODIS sensors as a reference.
机译:亚利桑那大学的遥感小组(RSG)使用地面测试站点校准机载和基于卫星的传感器已有很长的历史。通常,由于天气和资金状况的原因,在这些测试地点进行地面真实测量并不总是成功的。因此,RSG还具有自动化的地面仪器方法和交叉校准方法,以验证传感器的辐射校准。交叉校准方法的目标是将众所周知的传感器的校准转移到其他传感器的校准。这项工作研究了使用多光谱图像确定高光谱成像仪辐射定标的可行性。这项工作依赖于中等分辨率成像光谱仪(M0DIS)作为高光谱传感器Hyperion的参考。用于比较的测试地点是内华达州的铁路谷和北非的利比亚沙漠的一部分。通过将Hyperion的高光谱分辨率数据与M0DlS的相对光谱响应进行频段平均,将Hyperion频段与MODIS进行比较。结果比较了在图像采集一致性,用于校准的测试位置和参考传感器方面有所不同的交叉校准方案。提出了交叉校准的结果,该结果表明大多数品牌在2%以内使用一致和非一致的图像对之间的一致性,以及使用不同MODIS传感器作为参考的结果之间的相似一致性。

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