[HTML][HTML] Decision fusion framework for hyperspectral image classification based on Markov and conditional random fields
Classification of hyperspectral images is a challenging task owing to the high dimensionality
of the data, limited ground truth data, collinearity of the spectra and the presence of mixed …
of the data, limited ground truth data, collinearity of the spectra and the presence of mixed …
Classification of remote sensing image using SVM kernels
With reference to the literature worldwide, it is obvious that Support Vector Machine (SVM), a
machine learning algorithm has proven records for excellent results regarding Classification …
machine learning algorithm has proven records for excellent results regarding Classification …
[PDF][PDF] INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY USE OF SVM KERNEL FOR BETTER CLASSIFICATION …
NV Mankar, A Khobragade, MM Raghuwanshi - academia.edu
The classification of remote sensing images is a challenging task, as image contains bulk of
information which is to be carefully extracted and used. Support vector machine (SVM) has …
information which is to be carefully extracted and used. Support vector machine (SVM) has …
[PDF][PDF] Apprentissage de données structurées pour l'interprétation d'images Structured Data Learning for Image Interpretation
E Aldea - perso.telecom-paristech.fr
Image interpretation methods use primarily the visual features of low-level or high-level
interest elements. However, spatial information concerning the relative positioning of these …
interest elements. However, spatial information concerning the relative positioning of these …
[CITATION][C] Evaluating kernel effect on performance of svm classification using satellite images
AN Khobragade, MM Raghuwanshi, L Malik - Int. J. Sci. Eng. Res, 2016