Scene-based spectral calibration for thermal infrared hyperspectral data

Article Properties
  • Language
    English
  • Publication Date
    2017/01/01
  • Indian UGC (journal)
  • Citations
    2
  • 谢锋 Xie Feng
  • 刘成玉 Liu Chengyu
  • 邵红兰 Shao Honglan
  • 张长兴 Zhang Changxing
  • 杨贵 Yang Gui
  • 王建宇 Wang Jianyu
Cite
Xie Feng 谢锋, et al. “Scene-Based Spectral Calibration for Thermal Infrared Hyperspectral Data”. Infrared and Laser Engineering, vol. 46, no. 1, 2017, p. 138001, https://doi.org/10.3788/irla201746.0138001.
Xie Feng 谢., Liu Chengyu 刘., Shao Honglan 邵., Zhang Changxing 张., Yang Gui 杨., & Wang Jianyu 王. (2017). Scene-based spectral calibration for thermal infrared hyperspectral data. Infrared and Laser Engineering, 46(1), 138001. https://doi.org/10.3788/irla201746.0138001
Xie Feng 谢锋, Liu Chengyu 刘成玉, Shao Honglan 邵红兰, Zhang Changxing 张长兴, Yang Gui 杨贵, and Wang Jianyu 王建宇. “Scene-Based Spectral Calibration for Thermal Infrared Hyperspectral Data”. Infrared and Laser Engineering 46, no. 1 (2017): 138001. https://doi.org/10.3788/irla201746.0138001.
Xie Feng 谢, Liu Chengyu 刘, Shao Honglan 邵, Zhang Changxing 张, Yang Gui 杨, Wang Jianyu 王. Scene-based spectral calibration for thermal infrared hyperspectral data. Infrared and Laser Engineering. 2017;46(1):138001.
Citations
Title Journal Journal Categories Citations Publication Date
Noise-sensitivity Analysis and Improvement of Automatic Retrieval of Temperature and Emissivity Using Spectral Smoothness

Remote Sensing
  • Science
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Geology
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
  • Science: Geology
5 2020
Temperature and Emissivity Inversion Accuracy of Spectral Parameter Changes and Noise of Hyperspectral Thermal Infrared Imaging Spectrometers

Sensors
  • Technology: Chemical technology
  • Science: Chemistry: Analytical chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
7 2020
Citations Analysis
The category Technology: Chemical technology 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Noise-sensitivity Analysis and Improvement of Automatic Retrieval of Temperature and Emissivity Using Spectral Smoothness and was published in 2020. The most recent citation comes from a 2020 study titled Noise-sensitivity Analysis and Improvement of Automatic Retrieval of Temperature and Emissivity Using Spectral Smoothness. This article reached its peak citation in 2020, with 2 citations. It has been cited in 2 different journals, 100% of which are open access. Among related journals, the Remote Sensing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year