Mar 27, 2014 · This paper focuses on the application of Extreme Learning Machines (ELM) to the classification of remote sensing hyperspectral data.

This paper focuses on the application of Extreme Learning Machines (ELM) to the classification of remote sensing hyperspectral data.

Moderateresolution imaging spectroradiometer (MODIS), Landsat-8, and Sentinel-2 are the three most popular medium-resolution multispectral satellites for ...

This Paper Focuses on the Application of Extreme Learning Machines (Elm) to the Classification of Remote Sensing Hyperspectral Data. the Specific Aim of the ...

Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data · Efficient ELM-Based Techniques for ...

Extreme learning machines for soybean classification in remote sensing hyperspectral images. Ramon Moreno, Francesco Corona, Amaury Lendasse, Manuel Grana, ...

This paper addresses the application of Extreme Learning. Machines (ELM) to the classification of remote sensing ... classification in hyperspectral images ...

Bibliographic details on Extreme learning machines for soybean classification in remote sensing hyperspectral images.

Extreme learning machines for soybean classification in remote sensing hyperspectral images. R. Moreno, F. Corona, A. Lendasse, M. Graña, and L. Galvão.

Extreme learning machines for soybean classification in remote sensing hyperspectral images ; ISSN · 1872-8286 ; Year of publication · 2014 ; Volume · 128 ; Pages · 207 ...