Abstract
Unmanned aerial vehicles (UAVs) collect information at low altitude, so multi-color images had obvious characteristics and fitted for visual interpretation. UAV data were lack-ing of spectral information but rich shape and texture information of the objects. However, the reality was that there was less study on extraction of ground surface information from UAV images due to the low accuracy by pixel-based classification. In the article, the author presented application of object-oriented classification using eCognition software 9.0 in UAV image data which spatial resolution was 40cm. Object-oriented classification allows to extract information of the objects in very high resolution images based on shape character-istic features with high accuracy.
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