@book{JRC37425,
	editor = {},
	address = {},
	year = {2007},
	author = {Grazzini J},
	isbn = {},
	abstract = {In this study, we show how different spectral channels
		of NOAA-AVHRR acquired data can be used to produce
		a synthetized signal aimed at helping the characterization of
		plumes associated to fire events. The synthetized signal is
		computed using a reconstruction formula in the multifractal
		microcanonical formalism (herein referred to as MMF). The
		MMF is a recent development in the analysis of complex signals,
		well adapted to the study of turbulent acquired data, for instance
		geophysical fluids. It allows the computation, at each point of the
		signal’s domain, of a singularity exponent, characteristic of the
		scale behaviour of the signal around that point; singularity exponents
		provide information about the strengths of the transitions
		inside a signal, and they are related to the multifractal hierarchy
		associated to structure functions in Fully Developped Turbulence
		(FDT). In the MMF, it is possible to reconstruct a turbulent
		signal from the manifold of most singular exponents. We make
		use of this property by computing supergeometric structures from
		a thermal infrared channel in NOAA-AVHRR acquired data,
		and we use the signal’s gradient coming from other channels to
		reconstruct a signal in which plume pixels are easier to detect.
		This methodology is based on the turbulent properties of the
		plume accessible from the thermal infrared band; the algorithm
		is detailed and applied on a specific example, showing a new
		spatially-based method for helping the determination of plume
		pixels in NOAA-AVHRR data.
		
		
		
		
		
		
		
		
		
		},
	title = {Multifractal Pre-Processing of AVHRR Images to Improve the Determination of Smoke Plumes from Large Fires},
	url = {http://www.ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4422708&arnumber=4558417&count=1360&index=1358},
	volume = {},
	number = {},
	journal = {},
	pages = {5335-5338},
	issn = {},
	publisher = {IEEE International},
	doi = {10.1109/IGARSS.2007.4558417}
}