• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties
【24h】

Evaluation and comparison of hyperspectral temperature and emissivity separation methods influenced by sensor spectral properties

机译：传感器光谱特性影响下的高光谱温度和发射率分离方法的评估和比较

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this article, great efforts are focused on the temperature and emissivity separation (TES) from hyperspectral thermal infrared data. Instead of proposing a new TES method, several published TES methods, including iterative spectrally smooth temperature-emissivity separation method (ISSTES), automatic retrieval of temperature and emissivity using spectral smoothness method (ARTEMISS), spectral smoothness method (SpSm), downwelling radiance residual index method (DRRI), and linear spectral emissivity constraint method (LSEC), are reviewed. The performances of these TES methods are analysed and compared under different instrument characteristics, including spectral shifting and full-width half-maximum broadening, with the simulated data. The results show that LSEC has the most robust and accurate performance. DRRI also has a good performance, in which a channel selection procedure is required before the use of this method. ISSTES, ARTEMISS, and SpSm show more sensitivities.
机译：在本文中，我们将大量精力集中在从高光谱热红外数据中分离温度和发射率（TES）。除了提出新的TES方法外，还发布了几种已发布的TES方法，包括迭代光谱平滑温度-发射率分离方法（ISSTES），使用光谱平滑方法（ARTEMISS）自动检索温度和发射率，光谱平滑方法（SpSm），向下辐射余量回顾了指数法（DRRI）和线性光谱发射率约束法（LSEC）。对这些TES方法的性能进行了分析，并在不同的仪器特性（包括光谱平移和全宽半最大展宽）下与模拟数据进行了比较。结果表明，LSEC具有最强大和最准确的性能。 DRRI还具有良好的性能，其中在使用此方法之前需要进行频道选择过程。 ISSTES，ARTEMISS和SpSm显示出更高的敏感性。

著录项

  • 来源
    《International journal of remote sensing》 |2019年第6期|1693-1708|共16页
  • 作者

    Wang Ning; Qian Yonggang; Wu Hua; Ma Lingling; Tang Lingli; Li Chuanrong;

  • 作者单位

    Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China;

    Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China;

    Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci, Beijing, Peoples R China;

    Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China;

    Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China;

    Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号