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航天高光谱遥感应用研究进展(特邀)

李盛阳,  刘志文,  刘康,  赵子飞

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文章导航 > 红外与激光工程  > 2019 >  48(3): 303001-0303001(15)
李盛阳, 刘志文, 刘康, 赵子飞. 航天高光谱遥感应用研究进展(特邀)[J]. 红外与激光工程, 2019, 48(3): 303001-0303001(15). doi: 10.3788/IRLA201948.0303001
引用本文: 李盛阳, 刘志文, 刘康, 赵子飞. 航天高光谱遥感应用研究进展(特邀)[J]. 红外与激光工程, 2019, 48(3): 303001-0303001(15). doi: 10.3788/IRLA201948.0303001
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Li Shengyang, Liu Zhiwen, Liu Kang, Zhao Zifei. Advances in application of space hyperspectral remote sensing(invited)[J]. Infrared and Laser Engineering, 2019, 48(3): 303001-0303001(15). doi: 10.3788/IRLA201948.0303001
Citation: Li Shengyang, Liu Zhiwen, Liu Kang, Zhao Zifei. Advances in application of space hyperspectral remote sensing(invited)[J]. Infrared and Laser Engineering, 2019, 48(3): 303001-0303001(15). doi: 10.3788/IRLA201948.0303001
shu

航天高光谱遥感应用研究进展(特邀)

doi: 10.3788/IRLA201948.0303001
  • 1.

    中国科学院太空应用重点实验室,北京 100094;

  • 2.

    中国科学院空间应用工程与技术中心,北京 100094;

  • 3.

    中国科学院大学,北京 100049

基金项目: 

国家重大专项-载人航天工程空间应用系统“天宫二号任务数据管理平台”项目（Y3140231WN）

详细信息
    作者简介:

    李盛阳(1976-),男,研究员,博士生导师,博士,主要从事遥感图像智能处理与应用、航天地面数据系统技术等方面的研究。Email:shyli@csu.ac.cn

  • 中图分类号: TP79

Advances in application of space hyperspectral remote sensing(invited)

  • 1.

    Key Laboratory of Space Utilization,Chinese Academy of Sciences,Beijing 100094,China;

  • 2.

    Technology and Engineering Center for Space Utilization,Chinese Academy of Sciences,Beijing 100094,China;

  • 3.

    University of Chinese Academy of Sciences,Beijing 100049,China

  • 摘要: 近年来随着高光谱成像技术的快速发展，航天高光谱遥感数据在各领域应用研究中取得了良好的发展与突破。文中回顾了国内外航天高光谱成像技术的发展历程，介绍了有代表性的航天高光谱成像仪的主要应用技术指标，较为系统地总结和分析了近五年来航天高光谱遥感数据在国土资源、农林遥感、海洋湖泊遥感、城市环境、灾害监测及其他方面等各领域的最新应用研究进展。对基于AI技术的高光谱信息提取与应用、基于高光谱遥感的多源数据融合与应用以及面向深空探测领域的高光谱数据分析与应用等发展趋势做了展望，未来航天高光谱成像仪技术的进一步突破和应用研究需求的牵引将会推动高光谱应用领域更大范围的创新与发展。
    Abstract: With the rapid development of hyperspectral imaging technology, space hyperspectral remote sensing data have been successfully applied to various fields in recent years. The development of space hyperspectral imaging technology at home and abroad was reviewed, the technical standards of representative space hyperspectral imagers were introduced. The latest applications of hyperspectral data in land resources, agriculture and forestry, ocean and lake remote sensing, urban environment, disaster monitoring and other fields in the past five years were systematically summarized and analysed. The outlook of future hyperspectral remote sensing was provided including hyperspectral information extraction and application based on AI technology, the multi-source data fusion and applications, and the analysis and application of hyperspectral data for deep space exploration. Further developments of space hyperspectral imager technology driven by applications will promote the innovated use of hyperspectral data in a wider range of fields.
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出版历程
  • 收稿日期:  2018-11-05
  • 修回日期:  2018-12-03
  • 刊出日期:  2019-03-25

航天高光谱遥感应用研究进展(特邀)

doi: 10.3788/IRLA201948.0303001
  • 1. 中国科学院太空应用重点实验室,北京 100094;
  • 2. 中国科学院空间应用工程与技术中心,北京 100094;
  • 3. 中国科学院大学,北京 100049
    • 作者简介:

    李盛阳(1976-),男,研究员,博士生导师,博士,主要从事遥感图像智能处理与应用、航天地面数据系统技术等方面的研究。Email:shyli@csu.ac.cn

  • 收稿日期: 2018-11-05
  • 修回日期: 2018-12-03
  • 刊出日期: 2019-03-25
基金项目:

国家重大专项-载人航天工程空间应用系统“天宫二号任务数据管理平台”项目（Y3140231WN）

  • 中图分类号: TP79

摘要: 近年来随着高光谱成像技术的快速发展，航天高光谱遥感数据在各领域应用研究中取得了良好的发展与突破。文中回顾了国内外航天高光谱成像技术的发展历程，介绍了有代表性的航天高光谱成像仪的主要应用技术指标，较为系统地总结和分析了近五年来航天高光谱遥感数据在国土资源、农林遥感、海洋湖泊遥感、城市环境、灾害监测及其他方面等各领域的最新应用研究进展。对基于AI技术的高光谱信息提取与应用、基于高光谱遥感的多源数据融合与应用以及面向深空探测领域的高光谱数据分析与应用等发展趋势做了展望，未来航天高光谱成像仪技术的进一步突破和应用研究需求的牵引将会推动高光谱应用领域更大范围的创新与发展。

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