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Timely and accurate identification of tree species by spectral methods is crucial for forest and urban ecological management. It has been proved that traditional methods and data cannot meet such requ...
Atmospheric pollution was previously considered as a 'Brown Cloud’ phenomenon restricted to industrialized urban regions. Studies in field stations and satellite observations made since the last decad...
Vehicle Recognition from LiDAR Data.
This paper presents an efficient framework for solving the problem of static gesture recognition based on data obtained from the web cameras and depth sensor Kinect (RGB-D - data). Each gesture...
The development of effective, highly accurate schemes for recognizing moving ambiguous shapes such as ocean current eddies and water masses in satellite images is an important basic technology for e...

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