ELM-based spectral–spatial classification of hyperspectral images using extended morphological profiles and composite feature mappings

International Journal of Remote Sensing, Volume 36, Issue 2, 2015, Pages 645-664.

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Abstract:

Extreme Learning Machine (ELM) is a supervised learning technique for a class of feedforward neural networks with random weights that has recently been used with success for the classification of hyperspectral images. In this work, we show that the morphological techniques can be integrated in this kind of classifiers using several compos...More

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