• DocumentCode
    3463483
  • Title

    Fusion of images with different spatial resolution

  • Author

    Ling, Li ; Shunji, Huang

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    3
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    1310
  • Abstract
    Nowadays in the field of information processing, it is not adequate for some tasks to use only one data set obtained with a single sensor. In this paper, the authors take advantage of pixel-level fusion which consists of merging information from different digital images, and concentrate on the fusion of two different spatial resolution images of the same scene obtained by SAR and optical sensors respectively. The fusion of the two image intensities is carried out by obtaining the image which has the least mean square error (LMSE) from the image with the finer resolution, subject to some constraints. The image achieved is of higher quality than the reconstruction obtained using only one image. The authors obtained more useful and detailed information which shows the effectiveness of their proposed method
  • Keywords
    geophysical signal processing; geophysical techniques; radar imaging; remote sensing; remote sensing by radar; sensor fusion; synthetic aperture radar; SAR; data fusion; different spatial resolution; geophysical measurement technique; image processing; land surface; least mean square error; merging; optical sensor; pixel-level fusion; radar imaging; radar remote sensing; sensor fusion; synthetic aperture radar; terrain mapping; Digital images; Image reconstruction; Image resolution; Information processing; Layout; Mean square error methods; Merging; Optical sensors; Pixel; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.691387
  • Filename
    691387