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Titlebook: Real time deforestation detection using ANN and Satellite images; The Amazon Rainfores Thiago Nunes Kehl,Viviane Todt,Silvio Cesar Cazell B

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書(shū)目名稱(chēng)Real time deforestation detection using ANN and Satellite images
副標(biāo)題The Amazon Rainfores
編輯Thiago Nunes Kehl,Viviane Todt,Silvio Cesar Cazell
視頻videohttp://file.papertrans.cn/823/822243/822243.mp4
概述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 co
叢書(shū)名稱(chēng)SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Real time deforestation detection using ANN and Satellite images; The Amazon Rainfores Thiago Nunes Kehl,Viviane Todt,Silvio Cesar Cazell B
描述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.
出版日期Book 2015
關(guān)鍵詞MODIS; amazon rainforest; artificial neural networks; deforestation detection; satellite images classifi
版次1
doihttps://doi.org/10.1007/978-3-319-15741-2
isbn_softcover978-3-319-15740-5
isbn_ebook978-3-319-15741-2Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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https://doi.org/10.1007/978-3-319-15741-2MODIS; amazon rainforest; artificial neural networks; deforestation detection; satellite images classifi
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Thiago Nunes Kehl,Viviane Todt,Silvio Cesar CazellDevelopment 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 co
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2191-5768 nstead 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.978-3-319-15740-5978-3-319-15741-2Series ISSN 2191-5768 Series E-ISSN 2191-5776
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Recommended name, Synonyms, CAS Reg. No.). - .Reaction and specificity. (Catalysed reaction, Reaction type, Natural substrates, Substrate spectrum, Product spectrum, Inhibitors, Cofactors/prosthetic groups, Metal compounds/ salts, Turnover number, Specific activity, KM-value, pH-optimum, pH-range, Temperatur978-3-642-76463-9
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