Landuse classification is an important problem in the remote sensing field. It can be used in a wide range of applications. In this paper, we propose a hybrid method fusing edges and regions information for the landuse classification of multispectral images. It mainly includes the steps of image pre-processing, initial segmentation and region merging. Especially, a novel spatial mean shift procedure is proposed so that some information can be extracted and used in the successive steps. Aiming at the multispectral images processing, we also design a band weighting strategy that give a proper weight to each band adoptively according to the region to be processed. Experimental results on the Landsat TM and ETM+ images validate the performance of the proposed method.


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    Title :

    A band-weighted landuse classification method for multispectral images


    Contributors:
    Chunhong Pan, (author) / Gang Wu, (author) / Prinet, V. (author) / Qing Yang, (author) / Songde Ma, (author)


    Publication date :

    2005-01-01


    Size :

    671950 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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