LINO JOSE COMESAÑA CEBRAL-rekin lankidetzan egindako argitalpenak (6)

2024

  1. Transport Infrastructure Management Based on LiDAR Synthetic Data: A Deep Learning Approach with a ROADSENSE Simulator

    Infrastructures, Vol. 9, Núm. 3

  2. Wildfire response of forest species from multispectral LiDAR data. A deep learning approach with synthetic data

    Ecological Informatics, Vol. 81

2022

  1. A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety

    European Transport Research Review, Vol. 14, Núm. 1

  2. Clasificación semiautomatizada de especies arbóreas basada en parámetros de rugosidad mediante datos LiDAR aereos

    Revista DYNA, Vol. 97, Núm. 5, pp. 528-534

  3. HEURISTIC GENERATION OF MULTISPECTRAL LABELED POINT CLOUD DATASETS FOR DEEP LEARNING MODELS

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

2021

  1. Individual tree segmentation method based on mobile backpack LiDAR point clouds

    Sensors, Vol. 21, Núm. 18