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Real Time Deforestation Detection Using Ann and Satellite Images
Kehl, Thiago; Todt, Viviane; Veronez, Mauricio; Cazella, Silvio
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Description for Real Time Deforestation Detection Using Ann and Satellite Images
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 77 pages, 4 black & white illustrations, 21 colour illustrations, 8 black & white tables, biography. BIC Classification: RGW; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 4. Weight in Grams: 168.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
77
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
67
Place of Publication
Cham, Switzerland
ISBN
9783319157405
SKU
V9783319157405
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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