• DocumentCode
    2454807
  • Title

    Researching the method of coastline extracted by remote sensing image

  • Author

    Yin, Jianzhong ; He, Fenqin

  • Author_Institution
    Coll. of Civil Eng., Tianjin Univ., Tianjin, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    3441
  • Lastpage
    3444
  • Abstract
    Coastline is dynamic change, required constant mapped and amended, so that the coastal zone can be scientific managed. This article researches the method of coastline extracted by the remote sensing image. Coast types are divided into rock, artificial shore, sandy shore, muddy coast. Taking the method of the modification of normalized difference Water Index (MNDWI), the first two coasts can be extracted the coastline. Employing the method of the ETM741 color composite and supervised classification by support vector machine (SVM), the latter two coasts can be extracted the coastline. The former error is 0.02%. The latter error is 0.035%. They are within the range of allowable error. Which two different types of coastline can be extracted by the two methods, it can achieve satisfactory results.
  • Keywords
    geophysical image processing; oceanographic techniques; remote sensing; rocks; sand; sediments; support vector machines; ETM741 color composite; artificial shore; coastal zone; coastline image extraction method; muddy coast; normalized difference water index method; remote sensing image; rock; sandy shore; support vector machine; Earth; Image color analysis; Remote sensing; Rocks; Satellites; Sea measurements; Support vector machines; coastline; extraction; method; remote sensing image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965052
  • Filename
    5965052