| 全球30m分辨率多光谱影像数据自动化处理的实践与思考 |
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| 引用本文： | 唐娉,张宏伟,赵永超,牛振国,仲波,胡昌苗,单小军.全球30m分辨率多光谱影像数据自动化处理的实践与思考[J].遥感学报,2014,18(2):231-253. |
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| 作者姓名： | 唐娉 张宏伟 赵永超 牛振国 仲波 胡昌苗 单小军 |
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| 作者单位： | 中国科学院 遥感与数字地球研究所, 北京 100101;国家基础地理信息中心, 北京 100830;中国科学院 电子学研究所, 北京 100190;中国科学院 遥感与数字地球研究所, 北京 100101;中国科学院 遥感与数字地球研究所, 北京 100101;中国科学院 遥感与数字地球研究所, 北京 100101;中国科学院 遥感与数字地球研究所, 北京 100101 |
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| 基金项目： | 国家高技术发展计划（863计划）（编号：2009AA122002） |
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| 摘 要： | 全球地表覆盖遥感制图与关键技术研究项目要求对两个基准年度(2000年、2010年)全球30 m分辨率的多光谱遥感数据进行辐射处理和几何精纠正处理,为地表覆盖制图完成数据准备。数据以Landsat TM/ETM+为主,HJ-1A/B CCD数据为补充,共计2万多景影像需要进行辐射处理,有1000多景HJ-1A/B CCD影像需要几何精纠正。如此大规模的数据处理,自动化处理是必然的选择。本文介绍了HJ-1A/B CCD图像几何精纠正自动化实现中关键问题的解决方法和精度评价结果,Landsat TM/ETM+和HJ-1A/B CCD图像自动化辐射校正中关键问题的解决方法和精度评价结果,以及大规模的数据处理活动引发的一些思考。
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| 关 键 词： | Landsat TM/ETM+ HJ-A/B CCD 辐射校正 几何精校正 |
| 收稿时间： | 2013/8/30 0:00:00 |
| 修稿时间： | 2013/11/29 0:00:00 |
Practice and thoughts of the automatic processing of multispectral images with 30 m spatial resolution on the global scale |
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| TANG Ping,ZHANG Hongwei,ZHAO Yongchao,NIU Zhenguo,ZHONG Bo,HU Changmiao and SHAN Xiaojun.Practice and thoughts of the automatic processing of multispectral images with 30 m spatial resolution on the global scale[J].Journal of Remote Sensing,2014,18(2):231-253. |
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| Authors: | TANG Ping ZHANG Hongwei ZHAO Yongchao NIU Zhenguo ZHONG Bo HU Changmiao and SHAN Xiaojun |
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| Institution: | Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;National Geomatics Center of China, Beijing 100830, China;Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | "Higher Resolution Global Land Cover Mapping" program requires global data from two base years (2000,2010) with 30 m spatial resolution multispectral images for global land cover mapping. These data should undergo radiometric and geometric precision correction. The data mainly comprise Landsat TM/ETM+ images supplemented by HJ-1A/B CCD. In total, more than 20000 images require radiometric correction and more than 1000 HJ-1A/B CCD images require precise geometric correction. With such a large data set, automated processing is necessary. This paper presents a solution to key issues on the automatic geometric correction of HJ-1A/B CCD images and precision evaluation results. This paper also presents solutions to key issues on the automatic radiometric correction of Landsat TM/ETM+ and HJ-1A/B CCD images and accuracy assessment results. Finally, this paper presents some suggestions for the processing of large data sets. |
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| Keywords: | Landsat TM/ETM+ HJ-1A/B CCD radiometric correction geometric precision correction |
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