Evaluation of global fire detection algorithms using simulated AVHRR infrared data
Evaluation of global fire detection algorithms using simulated AVHRR infrared data
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DOI：
10.1080/014311699212290
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发表时间：
1999-07-10
影响因子：
3.4
通讯作者：
Kendall, JD
中科院分区：
文献类型：
--
作者：
Giglio, L;Kendall, JD
本文提供了一个比较选择的算法，已提出了全球主动火灾监测使用NOAA高级甚高分辨率辐射计（AVHRR）的数据。一个简单的理论模型被用来生成场景的AVHRR红外通道3和通道4的数据包含火灾的各种大小和温度在一个广泛的BF陆地生物群落和气候。三个主动火灾探测算法被施加到模拟的AVHRR图像，其性能的特点是火灾探测和误报的概率作为火灾温度和面积，太阳能和观看的几何形状，能见度，季节和生物群系的函数。还利用高级甚高分辨率辐射计图像作了进一步的比较。结果表明，虽然每种算法在大多数生物群落中检测大型火灾（>1000 m（2））的概率相当，但它们在检测小型火灾的能力，对烟雾和邻近火灾的耐受性，误报数量以及它们对全球应用的整体适用性方面存在很大差异。最后提出了一种改进的自动算法。它提供了增强的主动火灾探测，在大多数生物群落中具有可比或降低的误报率。
This paper provides a comparison of selected algorithms that have been proposed for global active fire monitoring using data from the NOAA Advanced Very High Resolution Radiometer (AVHRR). A simple theoretical model was used to generate scenes of AVHRR infrared channel 3 and channel 4 data containing fires of various sizes and temperatures in a wide range bf terrestrial biomes and climates. Three active fire detection algorithms were applied to the simulated AVHRR images and their performance was characterized in terms of probability of fire detection and false alarm as functions of fire temperature and area, solar and viewing geometry, visibility, season and biome. Additional comparisons were made using AVHRR imagery. Results indicate that while each algorithm has a comparable probability of detecting large (>1000 m(2)) fires in most biomes, substantial differences exist in their ability to detect small fires, their tolerance of smoke and neighbouring fires, the number of false alarms, and their overall suitability for global application. An improved automatic algorithm is finally presented. It offers enhanced active fire detection with comparable or reduced false alarm rates in most biomes.