• DocumentCode
    2934433
  • Title

    An automatic recognition system for soil erosion based on knowledge and support vector machine

  • Author

    Huang, Yujie ; Wang, Guangqian ; Su, Lihong ; Liu, Zhigang

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    3444
  • Abstract
    Remote sensing is one of important approach of investigating soil erosion. An automatic recognition system was built for investigating soil erosion on Gushanchuan valley, which is one of tributaries of The Yellow river in China and is well known for its rugged terrain. The remote sensing recognition system enjoys two features. The one is a classification system based on expert knowledge, which recognise intensity of soil erosion by using judgment rules. The other is a support vector machine, which maps land use of the valley.
  • Keywords
    erosion; image classification; soil; terrain mapping; China; Gushanchuan valley; Yellow river; automatic recognition; classification system; recognise intensity; remote sensing; remote sensing recognition; rugged terrain; soil erosion; vector machine; Classification tree analysis; Expert systems; Image sampling; Land surface; Remote sensing; Rivers; Soil; Support vector machine classification; Support vector machines; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294816
  • Filename
    1294816