• DocumentCode
    1664978
  • Title

    Classification of industrial disposal illegal dumping site images by using spatial and spectral information together

  • Author

    Salleh, Jafki Bin ; Tsudagawa, Masaru

  • Author_Institution
    Dept. Electr. & Electron. Eng., Ritsumeikan Univ., Kyoto, Japan
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    559
  • Abstract
    Recently we hear about a lot of bad phenomenon that effect our world like "global warming", ozone hole and so on. This makes the condition of our Earth become far away from it\´s best condition for human beings to live as the years go by. As human beings can be said to have caused the problem, they should be responsible to prevent all of this from happening. But this is too difficult to be done. The best way now is to detect the problem at an earlier stage. In this paper we try to approach the detection of industrial disposal illegal dumping site by remote sensing.
  • Keywords
    Bayes methods; image classification; image enhancement; maximum likelihood estimation; remote sensing; spatial filters; waste disposal; Bayesian recognition; edge enhancement; fly dumping; illegal waste disposal; industrial disposal illegal dumping site; linear filtering; maximum-likelihood estimation; normal distributions; remote sensing; site images classification; spatial filter matrix; spatial filters; spatial information; spectral information; Building materials; Concrete; Earth; Humans; Remote sensing; Road vehicles; Signal generators; Spatial filters; Teleprinting; Waste materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-7218-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2002.1006903
  • Filename
    1006903