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

Nunes Kehl, Thiago

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

Inhaltsangabe

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.

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Verlag
Springer
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
331915740X
ISBN 13 
9783319157405
Einband
Tapa blanda
Anzahl der Seiten
80
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

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

Vorgestellte Ausgabe

ISBN 10:  3319157426 ISBN 13:  9783319157429
Verlag: Springer, 2015
Softcover