| 面向应用的海量高光谱影像处理与分析系统集成与实践 |
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| 引用本文： | 胡兴堂,张兵,李俊生,郑兰芬,童庆禧.面向应用的海量高光谱影像处理与分析系统集成与实践[J].遥感学报,2005,9(5):604-609. |
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| 作者姓名： | 胡兴堂 张兵 李俊生 郑兰芬 童庆禧 |
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| 作者单位： | 中国科学院,遥感应用研究所,遥感科学国家重点实验室,北京,100101 |
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| 基金项目： | 中国科学院知识创新工程重要方向项目(KZCX3-SW-334)，中国科学院遥感应用研究所创新课题(KZCXZ-312)，国家863项目(2003AA131060) |
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| 摘 要： | 论述了基于VC 6.0平台开发的高光谱遥感影像处理与分析系统H IPAS V1.0TM系统关键技术与总体架构,详细讨论了面向海量高光谱影像数据框架设计和针对行业应用的系统集成思路。给出了基于航空平台的高光谱图像处理与分析系统的处理流程和业务模式。解决了海量遥感影像的处理、分析以及地表参量反演等关键问题,并针对具体行业应用(如水环境监测,植被生长监测,岩石矿物填图)提供基础支撑平台。并给出了H IPAS V1.0TM系统典型的应用实例。
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| 关 键 词： | 高光谱遥感 环境监测 系统集成 |
| 文章编号： | 1007-4619(2005)05-0604-06 |
| 收稿时间： | 2004-03-12 |
| 修稿时间： | 2004-04-08 |
Hyperspectral Image Processing and Analysis System: Integration and Applications |
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| HU Xing-tang,ZHANG Bing,LI Jun-sheng,ZHENG Lan-fen and TONG Qing-xi.Hyperspectral Image Processing and Analysis System: Integration and Applications[J].Journal of Remote Sensing,2005,9(5):604-609. |
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| Authors: | HU Xing-tang ZHANG Bing LI Jun-sheng ZHENG Lan-fen and TONG Qing-xi |
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| Institution: | The State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | The architecture and integration of Hyperspectral Image Processing and Analysis System(HIPAS V1.0) are introduced in this paper. Under the modularized structure, HIPAS can offer customer more extensibility and convenience on huge image data processing and information extraction. We discuss the solutions for multi-source, multi-temporal and multi-thematic data processing, analysis and products distribution. Based on the airborne remote sensing data, we extracted and realized the typical operational model of hyperspectral remote sensing applications such as classfication, mapping,index inversion, identification etc. Under the integration of key technologies and special methodologies, such as Robust Pixel Unmixing, Auto Flat Field Transformation(AFFT), Self-Adaptive Filter(SAF), Univeral Gravitation Classification(UGC)etc,the application modules for environment monitoring in HIPAS were also introduced in this paper. As an example, some useful and valuable applications on pollution monitoring of water resource were given together with some constructive suggestions. |
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| Keywords: | hyperspectral remote sensing environment monitoring system integration |
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