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A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks

 

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Opened Access A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks
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Author: Carranza García, Manuel
García Gutiérrez, Jorge
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2019
Published in: Remote sensing, 11 (3-274)
Document type: Article
Abstract: Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social applications. The increase in availability of RS data has led to the development of new techniques for digital pattern classi...
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Cite: Carranza García, M., García Gutiérrez, J. y Riquelme Santos, J.C. (2019). A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote sensing, 11 (3-274)
Size: 2.896Mb
Format: PDF

URI: https://hdl.handle.net/11441/88714

DOI: 10.3390/rs11030274

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This work is under a Creative Commons License: 
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