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作 者:秦凯[1,2] 陈建平[1] 赵英俊[2] 裴承凯[2] 张东辉[2] QIN Kai;CHEN Jianping;ZHAO Yingjun;PEI Chengkai;ZHANG Donghui(Institute of High and New Techniques Applied to land Resources, China University of Geosciences (Beijing), Beijing 100083 China;Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing, Beijing 100029, China)
机构地区:[1]中国地质大学(北京)国土资源与高新技术研究中心,北京100083 [2]核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室,北京100029
出 处:《铀矿地质》2018年第3期174-179,192,共7页Uranium Geology
基 金:国家自然科学基金青年基金项目(编号:41602333)
摘 要:提出一种基于吸收深度系数的光谱定标方法 ,采用去连续统和光谱拟合方法计算机载成像光谱和地面光谱的吸收深度系数,构建光谱定标优化算法的目标函数,通过迭代的方法获取机载成像光谱仪传感器像元的中心波长偏移量。针对SASI机载成像光谱仪的具体特点,在甘肃地面定标场开展了光谱定标试验,结果显示:基于吸收深度系数光谱定标的结果与地面实测光谱吻合程度高;优化定标后的反射率数据精度明显提高,可以有效评估SASI谱段范围内的地物吸收特征的准确性,并可对机载成像光谱仪的"smile"效应进行修正。A spectral calibration method base on absorption depth coefficient was presented in this paper.This method was performed by an optimization procedure that minimizes the spectrum absorption depth deviation betweenairborne image spectrum and ground spectrum resultedby using spectral fitting and continuum removal. The new spectral calibration method was used to calibrate the SASI( Shortwave Airborne Spectrographic Imager) sensor image calibration site in Gansu province. The test results showed that the absorption depth coefficient calibration spectral are consistent with the field spectra. By comparing the data of laboratory calibration, the accuracy of reflectivity data after calibration optimization is improved obviously, which means the method can be used to assess the accuracy of ground spectrum feature and correct the "smile" effect of the airborne imaging spectrometer.
关 键 词:吸收深度 SASI机载成像光谱仪 去连续统 光谱定标
分 类 号:P627[天文地球—地质矿产勘探]
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