IDEAS home Printed from https://ideas.repec.org/a/hin/jjmath/1029247.html
   My bibliography  Save this article

Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion

Author

Listed:
  • Ruizhe Wang
  • Wang Xiao
  • Naeem Jan

Abstract

Since the traditional adaptive enhancement algorithm of high-resolution satellite images has the problems of poor enhancement effect and long enhancement time, an adaptive enhancement algorithm of high-resolution satellite images based on feature fusion is proposed. The noise removal and quality enhancement areas of high-resolution satellite images are determined by collecting a priori information. On this basis, the histogram is used to equalize the high-resolution satellite images, and the local texture features of the images are extracted in combination with the local variance theory. According to the extracted features, the illumination components are estimated by Gaussian low-pass filtering. The illumination components are fused to complete the adaptive enhancement of high-resolution satellite images. Simulation results show that the proposed algorithm has a better adaptive enhancement effect, higher image definition, and shorter enhancement time.

Suggested Citation

  • Ruizhe Wang & Wang Xiao & Naeem Jan, 2022. "Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion," Journal of Mathematics, Hindawi, vol. 2022, pages 1-9, January.
    • Handle: RePEc:hin:jjmath:1029247
    DOI: 10.1155/2022/1029247
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jmath/2022/1029247.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/jmath/2022/1029247.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/1029247?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:hin:jjmath:1029247. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.