Recognition of Natural and Man-Made Objects in Airborne Hyperspectral Imagesстатья
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Дата последнего поиска статьи во внешних источниках: 2 апреля 2015 г.
Аннотация:New approaches to the processing of airborne hyperspectral images are implemented in order to
develop emerging applications based on highperformance computing resources. The focus is on solving the
problem of recognizing forest vegetation of different species composition and age based on high spectral and spatial resolution airborne sensing data. Examples of the formation of information layers of recorded spectra for “pure species” of pine and birch forests are given with the selection of illuminated and shaded pixels, which increases the accuracy of recognition of objects in the processing of these images.