IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i16p2829-d883914.html
   My bibliography  Save this article

Infrared Target-Background Separation Based on Weighted Nuclear Norm Minimization and Robust Principal Component Analysis

Author

Listed:
  • Sur Singh Rawat

    (Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida 201301, India)

  • Sukhendra Singh

    (Department of Information Technology, JSS Academy of Technical Education, Noida 201301, India)

  • Youseef Alotaibi

    (Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Saleh Alghamdi

    (Department of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia)

  • Gyanendra Kumar

    (School of Computing Sciences and Engineering, Galgotias University, Greater Noida 201310, India)

Abstract

The target detection ability of an infrared small target detection (ISTD) system is advantageous in many applications. The highly varied nature of the background image and small target characteristics make the detection process extremely difficult. To address this issue, this study proposes an infrared patch model system using non-convex (IPNCWNNM) weighted nuclear norm minimization (WNNM) and robust principal component analysis (RPCA). As observed in the most advanced methods of infrared patch images (IPI), the edges, sometimes in a crowded background, can be detected as targets due to the extreme shrinking of singular values (SV). Therefore, a non-convex WNNM and RPCA have been utilized in this paper, where varying weights are assigned to the SV rather than the same weights for all SV in the existing nuclear norm minimization (NNM) of IPI-based methods. The alternate direction method of multiplier (ADMM) is also employed in the mathematical evaluation of the proposed work. The observed evaluations demonstrated that in terms of background suppression and target detection proficiency, the suggested technique performed better than the cited baseline methods.

Suggested Citation

  • Sur Singh Rawat & Sukhendra Singh & Youseef Alotaibi & Saleh Alghamdi & Gyanendra Kumar, 2022. "Infrared Target-Background Separation Based on Weighted Nuclear Norm Minimization and Robust Principal Component Analysis," Mathematics, MDPI, vol. 10(16), pages 1-22, August.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:16:p:2829-:d:883914
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/16/2829/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/16/2829/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sur Singh Rawat & Saleh Alghamdi & Gyanendra Kumar & Youseef Alotaibi & Osamah Ibrahim Khalaf & Lal Pratap Verma, 2022. "Infrared Small Target Detection Based on Partial Sum Minimization and Total Variation," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shailendra Pratap Singh & Youseef Alotaibi & Gyanendra Kumar & Sur Singh Rawat, 2022. "Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments," Sustainability, MDPI, vol. 14(20), pages 1-23, October.

    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. Salil Bharany & Sandeep Sharma & Osamah Ibrahim Khalaf & Ghaida Muttashar Abdulsahib & Abeer S. Al Humaimeedy & Theyazn H. H. Aldhyani & Mashael Maashi & Hasan Alkahtani, 2022. "A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing," Sustainability, MDPI, vol. 14(10), pages 1-89, May.
    2. Kuruva Lakshmanna & Neelakandan Subramani & Youseef Alotaibi & Saleh Alghamdi & Osamah Ibrahim Khalafand & Ashok Kumar Nanda, 2022. "Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks," Sustainability, MDPI, vol. 14(13), pages 1-19, June.

    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:gam:jmathe:v:10:y:2022:i:16:p:2829-:d:883914. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.