In this paper, an evaluation technique based on several image feature attributes along with image classifications is investigated. Furthermore, a semi-supervised technique based on support vector machine (SVM) for image classification and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity of satellite imagery is presented. Given a query image, the goal is to retrieve matching images in the database based on the shape features extracted from satellite imagery data. The experimental results demonstrate superior results based on shape features which provide a better classification accuracy using both support vector machine and the semi-supervised hashing search methods.1 2


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Satellite imagery retrieval: Features & metrics evaluation


    Contributors:


    Publication date :

    2012-03-01


    Size :

    1376014 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Satellite imagery in use

    Einar Bjorgo / Francesco Pisano / Joshua Lyons et al. | DOAJ | 2008

    Free access

    Automatic Registration of Satellite Imagery

    Fonseca, L. / Manjunath, B. S. / Kenney, C. et al. | British Library Conference Proceedings | 1998