Texture Segmentation Based on Wavelet and Kohonen Network for Remotely Sensed Images

Z. Chen, T.J. Feng, T.J. Feng, Z. Houkes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    14 Citations (Scopus)
    52 Downloads (Pure)

    Abstract

    In this paper, an approach based on wavelet decomposition and Kohonen's self-organizing map is developed for image segmentation. After performing the 2D wavelet transform of image, some features are extracted for texture segmentation, and the Kohonen neural network is used to accomplish feature clustering. The experimental results demonstrated the satisfactory effect of the proposed approach both for simulated textured image and multi-spectral remotely sensed images
    Original languageUndefined
    Title of host publication1999 IEEE International Conference on Systems, Man and Cybernetics
    Place of PublicationTokyo, Japan
    PublisherIEEE
    PagesVI-816-VI-821
    ISBN (Print)0-7803-5734-5
    DOIs
    Publication statusPublished - 12 Oct 1999

    Publication series

    Name
    PublisherIEEE Press
    Volume6

    Keywords

    • METIS-113186
    • IR-16301

    Cite this

    Chen, Z., Feng, T. J., Feng, T. J., & Houkes, Z. (1999). Texture Segmentation Based on Wavelet and Kohonen Network for Remotely Sensed Images. In 1999 IEEE International Conference on Systems, Man and Cybernetics (pp. VI-816-VI-821). Tokyo, Japan: IEEE. https://doi.org/10.1109/ICSMC.1999.816656