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首页> 外文期刊>American journal of applied sciences >Active Fire Monitoring with Level 1.5 MSG Satellite Images | Science Publications
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Active Fire Monitoring with Level 1.5 MSG Satellite Images | Science Publications

机译：1.5级味精卫星图像的主动火灾监控科学出版物

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> The first of the new generation of Meteosat satellites, known as Meteosat Second Generation (MSG-1), was launched in August 2002. As with the current Meteosat series, MSG is spin-stabilized and capable of greatly enhanced Earth observations. The satellites 12-channel imager, known formally as the Spinning Enhanced Visible and Infrared Imager (SEVIRI), observes the full disk of the Earth with an unprecedented repeat cycle of 15 min in 12 spectral wavelength regions or channels. Our goal is to collect maximum MSG images data with our real time acquisition system, to trust the continuous observation of the Earths full disk with a multi-spectral imager. This research gives an overview of the MSG SEVIRI instrument, the general approach for the active fire monitoring and the description of the algorithm together with the practical application of the tests and the algorithm. The AFMA algorithm (Active Fire Monitoring Algorithm) developed in this work is able to detect most of the existing active fires with a minimum of false alarms. The AFMA algorithm distinguishes between Diurnal and Nocturnal periods of day. The algorithm itself is based on a simple threshold algorithm. A few results are described and discussed.
机译： >新一代Meteosat卫星的第一颗，即Meteosat第二代（MSG-1），于2002年8月发射。与当前的Meteosat系列一样，MSG具有自旋稳定能力，并且能够增强地球观测。卫星12通道成像仪（正式称为旋转增强型可见光和红外成像仪（SEVIRI））以12分钟的前所未有的重复周期在12个光谱波长区域或通道中观测地球的整个圆盘。我们的目标是使用我们的实时采集系统收集最大的味精图像数据，以信任使用多光谱成像仪对地球全盘的连续观察。这项研究概述了MSG SEVIRI仪器，主动火灾监控的一般方法，算法的描述以及测试和算法的实际应用。在这项工作中开发的AFMA算法（主动火灾监控算法）能够以最少的误报检测到大多数现有的主动火灾。 AFMA算法可区分白天和夜间。该算法本身基于简单的阈值算法。描述和讨论了一些结果。

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