Please use this identifier to cite or link to this item:
https://doi.org/10.1109/IGARSS.2006.844
| 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. https://doi.org/10.1109/IGARSS.2006.844 | 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) | URI: | http://scholarbank.nus.edu.sg/handle/10635/112860 | ISBN: | 0780395107 | DOI: | 10.1109/IGARSS.2006.844 |
| Appears in Collections: | Staff Publications |
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