Authors:
- Development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks
- Tool provides parameterization of the configuration for the neural network training to select the best neural architecture to address the problem
- The tool uses 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
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil
Thiago Nunes Kehl, Maurício Roberto Veronez
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Universidade do Vale do Rio dos Sinos -, São Leopoldo, Brazil
Viviane Todt
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UFCSPA, Porto Alegre, Brazil
Silvio Cesar Cazella
Bibliographic Information
Book Title: Real time deforestation detection using ANN and Satellite images
Book Subtitle: The Amazon Rainforest study case
Authors: Thiago Nunes Kehl, Viviane Todt, Maurício Roberto Veronez, Silvio Cesar Cazella
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-15741-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-15740-5Published: 08 May 2015
eBook ISBN: 978-3-319-15741-2Published: 25 April 2015
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: X, 67
Number of Illustrations: 4 b/w illustrations, 21 illustrations in colour
Topics: Remote Sensing/Photogrammetry, Artificial Intelligence