• DocumentCode
    2662317
  • Title

    Fusion of DMSP OLS nighttime visible image and OLS thermal infrared image

  • Author

    Liu, Kai ; Kou, Zheng ; Luo, Limin

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
  • Volume
    5
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    In this paper, in order to improve the detection and recognition of cloud during the night, we make a study on the fusion of DMSP OLS nighttime visible image and infrared image through application of a typical set of image algorithms. We employ the quality measure Q to evaluate the performance of each algorithm. The results indicate that the qualities of fused images are actually improved relative not only to visible images but also to infrared images after image fusion, and the quality of fused image improves very distinctly relative to the nighttime visible image. The fused image contains more abundant information about the cloud.
  • Keywords
    image fusion; infrared imaging; object detection; American Defense Meteorological Satellite Program; DMSP OLS nighttime visible image fusion; OLS thermal infrared image; cloud detection; cloud recognition; operational linescan system instruments; Clouds; Computer science; Discrete transforms; Discrete wavelet transforms; Image fusion; Image recognition; Infrared detectors; Infrared imaging; Meteorology; Programmable logic arrays; DMSP OLS; image fusion; infrared imgae; nighttime visible image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5486106
  • Filename
    5486106