Previous research has mentioned that the Constrained Energy Minimization (CEM) algorithm is effective in dealing with small target detection in hyperspectral remote sensing images. The challenging work in CEM is to solve the inherent complex and large scale quadratic programming (QP) problems. However, using the traditional numerical algorithms to solve QP problems is non-significant. To this end, a novel CEM algorithm based on special zeroing neural network (termed SZCEM) model is formulated to solve this problem. Then, the feasibility and preponderance of the formulated method are proved by mathematical analysis and numerical experiments. The significance of this paper lies in expanding the application range of the ZNN model and its variants. At the same time, this paper also enriches researchers’ tools to deal with remote sensing image processing issues.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A ZNN Based Constrained Energy Minimization Algorithm and Its Application


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Jiang, Chengze (author) / Xiao, Xiuchun (author) / Liu, Dazhao (author) / Huang, Haoen (author)


    Publication date :

    2021-10-30


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Constrained minimization for monotonic reconstruction

    Rider, William / Kothe, Douglas | AIAA | 1997



    Iterative Constrained Minimization for Vectorial TV Image Deblurring

    Chen, K. | British Library Online Contents | 2016


    Aircraft Induced Drag Minimization Using the Constrained Optimization Method

    Martins, A. L. / Ribeiro, R. S. / American Institute of Aeronautics and Astronautics et al. | British Library Conference Proceedings | 1996


    Aircraft Induced Drag Minimization Using the Constrained Optimization Method

    Martins, A. L. / Ribeiro, R. S. | British Library Online Contents | 1996