| 遥感大数据自动分析与数据挖掘 |
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| 引用本文： | 李德仁,张良培,夏桂松.遥感大数据自动分析与数据挖掘[J].测绘学报,2014,43(12):1211-1216. |
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| 作者姓名： | 李德仁 张良培 夏桂松 |
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| 作者单位： | 1. 武汉大学 测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;2. 地球空间信息技术协同创新中心, 湖北 武汉 430079 |
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| 基金项目： | 国家自然科学基金“空间信息网络基础理论与关键技术”重大研究计划(培育项目)；数据驱动的海量遥感影像高效信息挖掘 |
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| 摘 要： | 成像方式的多样化以及遥感数据获取能力的增强,导致遥感数据的多元化和海量化,这意味着遥感大数据时代已经来临.然而,现有的遥感影像分析和海量数据处理技术难以满足当前遥感大数据应用的要求.发展适用于遥感大数据的自动分析和信息挖掘理论与技术,是目前国际遥感科学技术的前沿领域之一.本文围绕遥感大数据自动分析和数据挖掘等关键问题,深入调查和分析了国内外的研究现状和进展,指出了在遥感大数据自动分析和数据挖掘的科学难题和未来发展方向.
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| 关 键 词： | 遥感大数据 表达 检索 理解 数据挖掘 |
| 收稿时间： | 2014-09-28 |
| 修稿时间： | 2014-10-20 |
Automatic Analysis and Mining of Remote Sensing Big Data |
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| LI Deren,ZHANG Liangpei,XIA Guisong.Automatic Analysis and Mining of Remote Sensing Big Data[J].Acta Geodaetica et Cartographica Sinica,2014,43(12):1211-1216. |
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| Authors: | LI Deren ZHANG Liangpei XIA Guisong |
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| Institution: | 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;2. Collaborative Innovation Center of Geo-informatics, Wuhan 430079, China |
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| Abstract: | With the diversification of the imaging methods and the growing categories, quantity, and observation frequency of remote sensing data, the ability of land-cover observation has reached an unprecedented level, which means a new era of big data in remote sensing is coming. However, the existing methods and processing techniques cannot fulfill the need of the big data application in remote sensing. Thus, to develop the automatic analysis and mining theory and techniques for remote sensing big data is among the most advanced international research areas. This paper investigates and analyses the domestic and overseas research status and progress around this field and points out its key problems and developing trends. |
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| Keywords: | remote sensing big data representation retrieval understanding data mining |
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