Deep neural network ensembles for remote sensing land cover and land use classification

With the advancement of satellite technology, a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land Use (LCLU) classification task aiming to categorize remotely sensed images based on their semantic content. Recently, Deep Neural Networks (...

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Autors principals:	Burak Ekim, Elif Sertel
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2021-12-01
Col·lecció:	International Journal of Digital Earth
Matèries:	classification convolutional neural networks (cnn) deep neural network ensembles (dnne) land cover and land use (lclu) remote sensing
Accés en línia:	http://dx.doi.org/10.1080/17538947.2021.1980125
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