Development of deep learning architecture for automatic classification of outdoor mobile LiDAR data
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DOI: 10.1080/01431161.2018.1547929
Abstract: ABSTRACT This paper proposes a deep convolutional neural network (CNN) architecture for automatic classification of mobile laser scanning (MLS) data obtained for outdoor environment, which are characterized by noise, clutter, large size and larger quantum… read more here.
Keywords: automatic classification; classification; electric pole; architecture automatic ... See more keywords