Student project

Classification of high resolution satellite images

In this thesis the Support Vector Machine (SVM)is applied on classification of high resolution satellite images. Sveral different measures for classification, including texture mesasures, 1st order statistics, and simple contextual information were evaluated. Additionnally, the image was segmented, using an enhanced watershed method, in order to improve the classification accuracy.


    • LASIG-STUDENT-2005-007

    Record created on 2005-12-06, modified on 2016-08-08

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