Two dimensional Forest Fire Detection method by using NOAA AVHRR images
Two dimensional Forest Fire Detection method by using NOAA AVHRR images
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利用NOAA AVHRR图像的二维森林火灾检测方法
DOI：
10.1109/igarss.2003.1294486
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
Kazuma Hosoi
中科院分区：
文献类型：
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作者：
J. Kudoh;Kazuma Hosoi
研究了NOAA AVHRR图像林火探测方法。俄罗斯远东地区14年森林火点在三维直方图上累积。通道组合为1、3和5。结果表明，几乎所有通道3的值都是饱和的。因此，获得了在通道1和5上组成的二维直方图，其提供了与直方图的出现次数相对应的可靠火灾检测。这会在直方图中形成一些环状区域。评价结果表明，对于另一个区域的图像，直方图中出现次数超过5的区域无错误地检测到火灾。
We have studied Forest Fire Detection method with NOAA AVHRR images. The 14 years forest fires points were accumulate in a three dimensional histogram in Far East Russia region. The combinations of channels were 1, 3 and 5. The results shows almost all the channel 3 values were saturated. So, two dimensional histogram composed on channel 1 and 5 is obtained, which provides reliability fire detection corresponding to occurrence number of the histogram. This makes some looped area in the histogram. The valuation shows that the area over 5 of the occurrence number in the histogram detected the fire for another region images without errors.