• DocumentCode
    521628
  • Title

    The Application of Improved Canny Algorithm in Internal Waves´ Parameters from MODIS Remote Sensing Images

  • Author

    Chen, Fang-Fang ; Jiang, Xing-Fang ; Jiang, Zhong-Yi

  • Author_Institution
    Sch. of Math. & Phys., Jiangsu Polytech. Univ., Changzhou, China
  • fYear
    2010
  • fDate
    19-21 June 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The improved Canny algorithm was presented about the issue of weak signal in a MODIS remote sensing image on oceanic internal waves. First, the threshold method was used to filter out the noise of the remote sensing image. Second, the Canny algorithm was used to detect edges and then edges of some oceanic internal wave crests were thinned. At last, the curves were determined by straight-line fitting equation. The propagation directions were obtained from north by west 47°to 76° in the northeast of Dongsha Islands. The range of wavelengths in the examples was from 1.1 to 3.5km. The result indicated two points. The first one was that the MODIS remote sensing image whose resolution was 250m could be used to study oceanic internal waves. The second one was that the improved Canny algorithm adopted to extract parameters of oceanic internal waves was feasible.
  • Keywords
    geophysical image processing; ocean waves; oceanographic techniques; remote sensing; Dongsha Islands; MODIS remote sensing image; improved Canny algorithm; information optics; internal wave parameters; oceanic internal wave crests; propagation directions; straight-line fitting equation; threshold method; Detectors; Earth Observing System; Filters; Guidelines; Image edge detection; Image resolution; MODIS; Mathematics; Physics; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronic (SOPO), 2010 Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4963-7
  • Electronic_ISBN
    978-1-4244-4964-4
  • Type

    conf

  • DOI
    10.1109/SOPO.2010.5504190
  • Filename
    5504190