• DocumentCode
    143601
  • Title

    Research on single channel algorithm for land surface temperature retrieving with mid-infrared aerial image

  • Author

    Zhiming Shang ; Zhaorong Lin ; Gaojin Wen ; Na Yao ; Yunfei Bao

  • Author_Institution
    Beijing Inst. of Space Mech. & Electr., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3025
  • Lastpage
    3028
  • Abstract
    Infrared imaging and temperature measurement technology are increasingly common in the field of scientific research, environmental protection, military and some others. While the mid-infrared channel temperature inversion research is not yet in full swing and daytime mid infrared image has not been used to retrieve land surface temperature. A single channel algorithm is proposed in this paper. First detect the shadow area of the inversion region in a RGB image, assuming this area is not or less affected by the sun. Approach the shaded area and the no-shaded area on statistical analysis of the radiation energy. Then, the sun impacts can be effectively eliminated to solve the difficulties caused by the unique nature of mid-infrared images. At last the problem is included in the general problem of the single-channel thermal infrared band temperature inversion. Experiments show that the algorithm has high accuracy.
  • Keywords
    atmospheric techniques; geophysical image processing; infrared imaging; land surface temperature; RGB image; land surface temperature retrieval; midinfrared aerial image; midinfrared channel temperature inversion research; midinfrared images; radiation energy; scientific research; single channel algorithm research; single-channel thermal infrared band temperature inversion; temperature measurement technology; Land surface; Land surface temperature; Ocean temperature; Remote sensing; Sea surface; Temperature measurement; Temperature sensors; land surface temperature; middle infrared image; single channel method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947114
  • Filename
    6947114