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An Improved Method for Forest Fire Spot Detection Based on Variance Between-Class

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An improved method using variance between-class and smoke plume mask is described. The brightness temperature threshold of potential fire pixels was adjusted to be 305 K. Based on the variance between-class of TIR channel brightness temperature and a smoke plume detection algorithm, the improved algorithm can separate the hot fire spots from the background and seek out the cool fire spots, respectively, with suitable thresholds of variance between-class. This algorithm has been used in the forest fires that happened in Fujian province and Heilongjiang province. Study shows that detection results with the algorithm are more satisfactory. It is adapted in different environments and can be more accurately detected the high-temperature fire spot and the smoder at low temperature. It increases the ability and accuracy to detect fire spots.
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Keywords: Brightness; Fire spot; Moderate resolution imaging spectroradiometer (MODIS); Variance between-class

Document Type: Research Article

Publication date: 01 August 2010

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  • Spectroscopy and Spectral Analysis, founded in 1981, is sponsored by the Chinese Central Iron & Steel Research Institute. "Spectroscopy and Spectral Analysis" has been indexed in SCI(1999), Ei(1992), MEDLINE(1999), and AJ (1999). "Spectroscopy and Spectral Analysis" publishes original contributions on various fields in Spectroscopy, including research results on laser spectroscopy, IR, Ramn, UV/Vis, Optical Emission, Absorption and Fluorescence spectroscopy, X-ray Fluorescence, and Spectrochemical Analysis, as well as Reseach paper, Research notes, Experimental Technique and Instrument, Review and Progress on the latest development of spectroscopy and spectrochemical anlysis, etc. "Spectroscopy and Spectral Analysis" is published monthly by Peking University Press with book sizes of large 16-mo format , and 292 pages per issue.
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