Onboard fuzzy logic approach to active fire detection in Brazilian amazon forest

Bruna E. Z. Leal; Andre R. Hirakawa; Thiago D. Pereira

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Onboard fuzzy logic approach to active fire detection in Brazilian amazon forest

机译：机载模糊逻辑方法在巴西亚马逊森林中进行主动火灾探测

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In Brazil, almost all fires are caused by human activities, and for very different reasons: cleaning pastures, preparation for planting, removal of excess undergrowth, hand harvesting of cane sugar, vandalism, etc. Identifying fire occurrence promptly can assist and minimize the negative impact on the affected area. This article presents an onboard fuzzy logic approach for identifying and detecting active fire spots in the Brazilian Amazon forest considering the separability of fire spectral characteristics.

机译：在巴西，几乎所有的火灾都是由人类活动引起的，原因非常不同：清洁牧场，进行种植准备，清除多余的灌木丛，手工收获蔗糖，故意破坏等。及时发现火灾可以帮助并最大程度地减少负面影响。对患处的影响。考虑到火谱特征的可分性，本文提出了一种船上模糊逻辑方法，用于识别和检测巴西亚马逊森林中的活跃火点。

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《IEEE Transactions on Aerospace and Electronic Systems》 |2016年第2期|883-890|共8页
作者
Bruna E. Z. Leal; Andre R. Hirakawa; Thiago D. Pereira;
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University of Sao Paulo Sao Paulo, Brazil;

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2. Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks [J] . Toledo-Castro Josu#xe9, Caballero-Gil Pino, Rodr#xed, Complexity . 2018,第1期

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Onboard fuzzy logic approach to active fire detection in Brazilian amazon forest

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