EAN: 9783319157405

SPRINGERBRIEFS IN COMPUTER SCIENCE REAL TIME ...

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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