Hristo Stoianov Nikolov

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A nonparametric Bayesian classification, based on a recently published very fast algorithm for multivariate density estimation is proposed. The classifier is applied to the problem of land cover type recognition of remote sensing data. A 7 channel satellite image of a region of North Bulgaria is used as input data. The procedure of object recording at a(More)
The WLAN is a set of hardware, firmware and software tools that allow to measure and collect certain parameters over relatively large area. By parameters we mean any physical value convertible into electrical counterpart. For instance: air temperature, relative humidity, soil moisture, leaf wetness, wind speed and direction, the water level in a river or a(More)
The spectral reflectance, respectively the spectral reflectance coefficients (SRC) of vegetation provide an express and significant information for the impact of abiotic factors (water stress, heavy metals, herbicide pollution etc.) on important bio-agricultural parameters of vegetation in different phenophases. The high spatial resolution (HSR) of(More)
In the recent years some serious improvements in increasing spatial resolution of orbital remote-sensing systems has been made. In many articles the ETM+ instrument onboard Landsat is considered to have modest spatial resolution. Combining the high spatial and high spectral resolution (more than 30 spectral channels), new possibilities for obtaining precise(More)
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