高光谱遥感技术发展与展望
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  • 英文篇名:Overview of Hyperspectral Remote Sensing Technology
  • 作者:张淳民 ; 穆廷魁 ; 颜廷昱 ; 陈泽宇
  • 英文作者:ZHANG Chunmin;MU Tingkui;YAN Tingyu;CHEN Zeyu;Institute of Space Optics, Xi′an Jiaotong University;
  • 关键词:成像光谱仪 ; 高分辨率 ; 发展趋势 ; 高光谱遥感 ; “高分五号”卫星
  • 英文关键词:imaging spectrometer;;high resolution;;development trend;;hyperspectral remote sensing;;GF-5 satellite
  • 中文刊名:HFYG
  • 英文刊名:Spacecraft Recovery & Remote Sensing
  • 机构:西安交通大学空间光学研究所;
  • 出版日期:2018-06-15
  • 出版单位:航天返回与遥感
  • 年:2018
  • 期:v.39;No.171
  • 基金:国家自然科学基金重点项目(41530422);国家自然科学基金(61775176)
  • 语种:中文;
  • 页:HFYG201803016
  • 页数:11
  • CN:03
  • ISSN:11-4532/V
  • 分类号:108-118
摘要
高光谱遥感技术是在成像光谱学基础上发展起来的一种遥感信息获取技术,因其高光谱分辨率及光谱和图像同时获取的能力,在大气探测、航天遥感、地球资源普查、军事侦察、环境监测、农业和海洋遥感等领域有着广泛和重要的应用。文章对高光谱遥感技术的发展概况进行了回顾,详细介绍了典型的高光谱遥感仪器的发展历程及其主要参数,对比了不同时期各个国家高光谱遥感载荷的性能特点,分析了中国高光谱遥感技术发展现状,并归纳了国际上未来高光谱遥感技术发展计划。文章结合当前信息时代的发展特点,对高光谱遥感技术未来发展进行了展望,指出了高光谱遥感技术探测波段进一步拓宽,时间、空间及光谱分辨率进一步提高,高光谱遥感技术种类进一步丰富,图像、光谱、偏振多元信息一体化获取,智能化、网络化以及小型轻量化的发展趋势,可为中国高光谱遥感技术的进一步成熟化和实用化提供参考。
        Hyperspectral remote sensing has extensive and important applications in atmospheric exploration, space remote sensing, general survey of earth resources, military reconnaissance, environmental monitoring, agriculture and marine remote sensing thanks to its ability to acquire high resolution spectrograms and images simultaneously. This paper reviews the development of hyperspectral remote sensing technology at home and abroad, describes in detail the development history and main parameters of typical hyperspectral remote sensing instruments, compares the performance characteristics of hyperspectral remote sensing payloads in different countries at different times, analyzes the development of hyperspectral remote sensing technology in China, and summarizes plans for future development of hyperspectral remote sensing technology in the world. Combining these development characteristics with the current information age, the future development of hyperspectral remote sensing technology is prospected. It points out the trend of the further broadened detection band of hyperspectral remote sensing technology, the further enhanced temporal, spatial and spectral resolutions, and the further enriched technology. What is more, the information of image, spectrum, and polarization is acquired simultaneously, and the payload will be intelligent, networked, smaller and lightweight. This paper provides direction for the future development of hyperspectral remote sensing, and can be useful for the further evolution.
引文
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