Real time deforestation detection using ANN and Satellite images: The Amazon Rainforest study case (SpringerBriefs in Computer Science) - Tapa blanda

Nunes Kehl, Thiago

 
9783319157405: Real time deforestation detection using ANN and Satellite images: The Amazon Rainforest study case (SpringerBriefs in Computer Science)
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ISBN 10: 331915740X ISBN 13: 9783319157405
Editorial: Springer, 2015

Sinopsis

The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.

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Reseña del editor

The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
331915740X
ISBN 13 
9783319157405
Encuadernación
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Número de páginas
80
Contacto del fabricante
no disponible
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Otras ediciones populares con el mismo título

9783319157429: Real time deforestation detection using ANN and Satellite images: The Amazon Rainforest study case

Edición Destacada

ISBN 10:  3319157426 ISBN 13:  9783319157429
Editorial: Springer, 2015
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