20 KB4790 KB14 KB200020242002Gilles, AndréHess, SigridMering, Catherineletnik:21številka:35 stranistr. 215-219ISSN:1580-3139COBISSID:16034777URN:URN:NBN:SI:doc-VPSAL52BenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyBarvabarveColorComputer GraphicsdetekcijaImage Processing, Computer-Assistedobdelava slikRačunalniška grafikaRadarSlika, obdelava z računalnikomGray tone filtering on ERS-SAR images applied to change detection and mapping|In SAR images, the pixel values are tightly related to physical parameters of the soil such as topography, roughness and humidity, regardless to atmosphericconditions. Therefore, SAR images may be used to detect, and quantify changes in land cover, by comparison of time series SAR data. Classical change detection techniques from SAR images are based on additive synthesis of RGB colors and arithmetic operations between images. The noisy aspect of ERS image due to the original speckle is an obstacle for available mapping and quantification of the changes. Here, statistical and morphologicalfilters are used to reduce the speckle noise. Combined techniquesof change detection and noise filtering are applied here to assess and map from ERS-SAR images the impact of regular or catastrophic flood and deforestation in the East Coast of MadagascarTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike