Semantic Point Cloud Segmentation in Urban Environments With 1d Convolutional Neural Networks
S. M. González-Collazo,
N. Canedo-González,
E. González
et al.
Abstract:Abstract. Convolutional Neural Networks (CNNs) have been widely recognized for their efficacy in image analysis tasks. This paper investigates the application of the 1D-CNN variant CNNs for the semantic segmentation of urban point clouds obtained through Mobile Laser Scanning. Ten well-known local geometric features of point clouds were used as input for the 1D CNN. Through an empirical analysis on the Santiago Urban Dataset, the 1D CNN was optimized in terms of numbers of convolution layers, neurons, pooling … Show more
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