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Title: Deriving optimal thresholds for active fire detection
Authors: Liew, S.C. 
Lim, A. 
Kwoh, L.K. 
Issue Date: 2006
Citation: Liew, S.C., Lim, A., Kwoh, L.K. (2006). Deriving optimal thresholds for active fire detection. International Geoscience and Remote Sensing Symposium (IGARSS) : 3287-3289. ScholarBank@NUS Repository.
Abstract: In this paper, the optimal threshold for Are detection is derived based on the probability density functions of the fire and background pixels. The threshold values and the commission and omission errors are computed according to several detection criteria: maximum likelihood, null-hypothesis testing, and minimum cost. This statistical approach enables the determination of optimal threshold value according to the specific requirements of the detection tasks.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
ISBN: 0780395107
DOI: 10.1109/IGARSS.2006.844
Appears in Collections:Staff Publications

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