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– Independent Component Analysis (ICA) is a multivariate data analysis process largely sudied these last years in the signal processing community for blind source separation. This paper proposes to show the interest of ICA as a tool for unsupervised analysis of hyperspectral images. The commonly used Principal Component Analysis (PCA) is the mean square(More)
– The study adresses the problem of spectral unmixing hyperspectral images, technique allowing the spectra and abundance of each pure material present in each pixel of a scene to be extracted. We first remark that the linear model commonly used in spectral unmixing is exactly the same as the model used in the Independant Component Analysis (ICA), a blind(More)
—Monitoring changes in the vegetation cover during the intercrop season is of special interest in intensive agricultural region, such as the Brittany region in France, to locate bare soils and control their influence to the environment. The presence of bare soils leads to detrimental environmental effects such as soil erosion or water quality degradation.(More)
– The spatial prediction of land cover at the field scale in winter appears useful for the issue of bare soils reduction in agricultural intensive regions. High variability of the factors that motivate the land cover changes between each winter involves integration of uncertainty in the modelling process. Fusion process with Dempster-Shafer Theory (DST)(More)
Linearity feature : Geometric context-dependant fuzzy fusion Texture feature : Geometric and parameters fusion Filtering Fuzzification Fuzzification Fuzzification Fuzzy fusions of methods and morphological post-processing : context-dependant decisions fusion Decision Segmented image Fig. 1 – Global scheme of segmentation strategy Abstract – The study(More)
The identification and monitoring of wooded hedgerows at field boundaries present a great interest in intensive agricultural landscapes because they protect crops against wind and water, and are recognized for their ecological values [1]. These linear features can reduce pollutant loads in runoff and mitigate the effects of discharge runoff directly into(More)
Keywords: Radiative transfer theory BRDF Vegetation Adding method SAIL model Kuusk' model The SAIL model (proposed by Verhoef) is largely used in the remote sensing community to calculate the canopy Bidirectional Reflectance Distribution Function. The simulation results appear acceptable compared to observations especially for not very dense planophile(More)