IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v74y2020i3d10.1007_s11235-020-00657-x.html
   My bibliography  Save this article

Image-matching framework based on region partitioning for target image location

Author

Listed:
  • Xiaomin Liu

    (Harbin Institute of Technology
    Jiamusi University)

  • Jun-Bao Li

    (Harbin Institute of Technology)

  • Jeng-Shyang Pan

    (Shandong University of Science and Technology
    Fujian University of Technology)

  • Shuo Wang

    (Harbin Institute of Technology)

  • Xudong Lv

    (Harbin Institute of Technology)

  • Shuanglong Cui

    (Harbin Institute of Technology)

Abstract

The target-location problems of observation and combat-integrated UAVs utilized in battles makes image matching challenging and of vital significance. This paper presents a framework of image matching based on region partitioning for target-image location, working on complex simulated aerial images consisting of, for example, scale-changing, rotation-changing, blurred, and occlusion images. Originally, an image-evaluation approach based on a weighted-orientation histogram was proposed to judge whether the image is an image with good texture or a textureless image. Two approaches based on layered architecture are employed for images with good texture and textureless images. In these two approaches, an improved SIFT image-matching algorithm incorporating detected Harris corners into the keypoint set is suggested, and Bhattacharyya distance based on an orientation histogram was employed to select the best result among different region pairs. Experiment results illustrated that the image-matching approach based on image segmentation has a much higher rate of 42.04 when compared to the traditional approach.

Suggested Citation

  • Xiaomin Liu & Jun-Bao Li & Jeng-Shyang Pan & Shuo Wang & Xudong Lv & Shuanglong Cui, 2020. "Image-matching framework based on region partitioning for target image location," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 74(3), pages 269-286, July.
    • Handle: RePEc:spr:telsys:v:74:y:2020:i:3:d:10.1007_s11235-020-00657-x
    DOI: 10.1007/s11235-020-00657-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-020-00657-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-020-00657-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lien, Gudbrand D. & Hardaker, J. Brian & Richardson, James W., 2006. "Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25449, International Association of Agricultural Economists.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    2. Ribera, Luis A. & Outlaw, Joe L. & Richardson, James W. & Silva, Jorge A. da & Bryant, Henry L., 2007. "Mitigating the Fuel and Feed Effects of Increased Ethanol Production Utilizing Sugarcane," Biofuels, Food and Feed Tradeoffs Conference, April 12-13, 2007, St, Louis, Missouri 313700, Farm Foundation.
    3. Lalani, Baqir & Lanza, Gracia & Leiva, Benjamin & Mercado, Leida & Haggar, Jeremy, 2024. "Shade versus intensification: Trade-off or synergy for profitability in coffee agroforestry systems?," Agricultural Systems, Elsevier, vol. 214(C).
    4. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    5. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    6. Hardaker, J. Brian & Lien, Gudbrand D., 2007. "Rationalising Risk Assessment: Applications to Agricultural Business," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 15.
    7. Lalani, Baqir & Dorward, Peter & Holloway, Garth, 2017. "Farm-level Economic Analysis - Is Conservation Agriculture Helping the Poor?," Ecological Economics, Elsevier, vol. 141(C), pages 144-153.

    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:spr:telsys:v:74:y:2020:i:3:d:10.1007_s11235-020-00657-x. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.