IDEAS home Printed from https://ideas.repec.org/a/igg/jcicg0/v10y2019i2p17-28.html
   My bibliography  Save this article

Building Detection From Satellite Images for Urban Planning Using MATLAB-Based Pattern Matching Method

Author

Listed:
  • A. Amala Arul Reji

    (South Travancore Hindu College, Manonmaniam Sundaranar University, Thirunelveli, India)

  • S. Muruganantham

    (South Travancore Hindu College, Manonmaniam Sundaranar University, Thirunelveli, India)

Abstract

Remote sensing and satellite image processing has many applications and an emerging field of trending in recent research. Remote sensing methods for extraction of information are used to obtain information related to the Earth's resources and environment for most government-based research applications. Few enhanced hybrid algorithms are reported and in use for real-world applications in recent years by extensive research for digital image processing. The digital images and satellite images are now extensively used for its information, which have many advantages over present analog image processing methods. The satellite data are larger and carry enormous amounts of information for applications like land description, crop assessment, cultivation monitoring, meteorology, regional description, underwater analysis, sea water interpretation, and so on. This paper analyses the requirements of better interpretation methods of received/captured images and newer processing techniques required. This paper presents complete study and pattern matching research in image processing tools using MATLAB programming and its capabilities that could be used in remote sensing applications in the future.

Suggested Citation

  • A. Amala Arul Reji & S. Muruganantham, 2019. "Building Detection From Satellite Images for Urban Planning Using MATLAB-Based Pattern Matching Method," International Journal of Creative Interfaces and Computer Graphics (IJCICG), IGI Global, vol. 10(2), pages 17-28, July.
    • Handle: RePEc:igg:jcicg0:v:10:y:2019:i:2:p:17-28
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCICG.2019070102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcicg0:v:10:y:2019:i:2:p:17-28. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.