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Works (6)

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

Ecological Informatics
2024-07 | Journal article
DOI: 10.1016/j.ecoinf.2024.102612
Part of ISSN: 1574-9541
Contributors: Lino Comesaña-Cebral; Joaquín Martínez-Sánchez; Gabriel Suárez-Fernández; Pedro Arias
Source: Self-asserted source
Lino Comesaña-Cebral

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

Infrastructures
2024-03-13 | Journal article
DOI: 10.3390/infrastructures9030058
Contributors: Lino Comesaña-Cebral; Joaquín Martínez-Sánchez; Antón Nuñez Seoane; Pedro Arias
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HEURISTIC GENERATION OF MULTISPECTRAL LABELED POINT CLOUD DATASETS FOR DEEP LEARNING MODELS

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2022 | Journal article
DOI: 10.5194/isprs-archives-XLIII-B2-2022-571-2022
Source: Self-asserted source
Lino Comesaña-Cebral

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
2022-12 | Journal article
DOI: 10.1186/s12544-022-00563-0
Part of ISSN: 1867-0717
Part of ISSN: 1866-8887
Contributors: Lino Comesaña-Cebral; Erik Rúa; Lino Comesaña-Cebral; Pedro Arias; Joaquín Martínez-Sánchez
Source: Self-asserted source
Lino Comesaña-Cebral

SEMI-AUTOMATED TREE SPECIES CLASSIFICATION BASED ON ROUGHNESS PARAMETERS USING AIRBORNE LIDAR DATA

DYNA
2022-09-01 | Journal article
DOI: 10.6036/10567
Contributors: ANA NOVO GOMEZ; HIGINIO GONZALEZ JORGE; LINO JOSE COMESAÑA CEBRAL; HENRIQUE LORENZO CIMADEVILLA; JOAQUIN MARTINEZ SANCHEZ
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Individual Tree Segmentation Method Based on Mobile Backpack LiDAR Point Clouds

Sensors
2021-09-08 | Journal article
DOI: 10.3390/s21186007
Contributors: Lino Comesaña-Cebral; Joaquín Martínez-Sánchez; Henrique Lorenzo; Pedro Arias
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