Classification of remote sensing textures using Gabor ring filter and ordered spectral histogram is investigated. The proposed approach is based on three steps. First, multi-scale Gabor ring filters are designed for feature extraction. Second, marginal distributions, or called histograms, derived from filtered images by Gabor ring filter, would be sorted by their characterized values. Then we could get ordered spectral histogram which is the feature we proposed in this paper. Third, K-NN classifier using χ2 -statistic is applied to classify images. The proposed approach is applied in experiments on high-resolution remote sensing data. In our experiment, the proposed method performs well in terms of classification accuracy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Classification for Remote Sensing Images Based on Gabor Ring Filters and Ordered Spectral Histograms


    Beteiligte:
    Wen, Zhuo (Autor:in) / Zhiguo, Cao (Autor:in) / Yi, Fan (Autor:in) / Yang, Xiao (Autor:in)


    Erscheinungsdatum :

    2008-05-01


    Format / Umfang :

    843181 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Segmentation and Object Detection with Gabor Filters and Cumulative Histograms

    Shioyama, T. / Wu, H. / Mitani, S. et al. | British Library Conference Proceedings | 1999


    Hierarchical Gabor Filters for Object Detection in Infrared Images

    Braithwaite, R. N. / Bhanu, B. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994


    Fusion Of Remote Sensing Images via Lattice Filters

    Kaplan, N.H. / Erer, I. / Kent, S. | IEEE | 2007


    Face recognition from 2D and 3D images using 3D Gabor filters

    Wang, Y. / Chua, C. S. | British Library Online Contents | 2005


    Sports Classification Using Cross-Ratio Histograms

    Paluri, Balamanohar / Nalin Pradeep, S. / Shah, Hitesh et al. | Springer Verlag | 2007