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作 者:田青林 秦凯[1] 陈雪娇[1] 余长发[1] TIAN Qinglin;QIN Kai;CHEN Xuejiao;YU Zhangfa(National Key Laboratory of Remote Sensing Information and Image Analysis Technology,Beijing Research Institute of Uranium Geology,Beijing 100029,China)
机构地区:[1]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:《世界核地质科学》2021年第2期229-236,共8页World Nuclear Geoscience
基 金:国家级重点实验室基金项目(编号:遥ZJ2019-2);国家级重点实验稳定支持科研项目(编号:遥ZS1901);国家自然科学基金项目(编号:41602333)资助。
摘 要:WorldView-3是目前空间分辨率最高的商业遥感卫星,同时又具有较多的光谱波段,在遥感定量监测方面应用潜力巨大。然而,受大气吸收与散射影响,传感器接收到的辐射信号是失真的,为了提高地表反射率的反演精度,获得地物真实信息,必须进行大气校正。采用FLAASH、QUAC和ATCOR 3种软件模型对WorldView-3影像进行大气校正,并对校正前后影像的目视效果、评价指标(信息熵、平均梯度)、地物光谱曲线和分类精度进行对比分析。结果表明,3种模型均能在一定程度上消除大气的影响,改善WorldView-3影像质量,但ATCOR模型整体校正效果最好,分类精度更高,得到的反射光谱与波谱库参考光谱更吻合,相关系数达到0.9以上。The WorldView-3 satellite is the highest spatial resolution instrument with rich spectral bands for civil application,which has great potential in the aspects of remote sensing quantitative monitoring.However,affected by atmospheric absorption and scattering,there is an error between the true value and the radiation signal received by the sensor,atmospheric correction must be performed in order to improve the inversion accuracy of reflectance and obtain a more realistic reflection spectrum of the ground object.In this study,FLAASH,QUAC,and ATCOR models were applied on the WorldView-3 imagery,and the corrected images were evaluated in visual effect,quality evaluation index(information entropy,average gradient),spectrum of objects,and the classification accuracy four aspects.The results showed that FLAASH,QUAC,and ATCOR models can eliminate the effects of the atmosphere in a certain extent and improve the image quality of the WorldView-3 images,while ATCOR model performed best and obtained higher classification accuracy,because the reflection spectrum corrected from the image coincides with the reference spectrum in the spectral library to great extent,and the correlation coefficient is better than 0.9.
关 键 词:WorldView-3影像 FLAASH QUAC ATCOR 大气校正
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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