Deep Learning Application for Fracture Segmentation Over Outcrop Images from UAV-Based Digital Photogrammetry-Reference-Cited by-同舟云学术

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Deep Learning Application for Fracture Segmentation Over Outcrop Images from UAV-Based Digital Photogrammetry

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Author:

Marques Ademir,Racolte Graciela,de Souza Eniuce Menezes,Domingos Hiduino Venancio,Horota Rafael Kenji,Motta Joao Gabriel,Zanotta Daniel Capella,Cazarin Caroline Lessio,Gonzaga Luiz,Veronez Mauricio Roberto

Funder

Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9553015/9553016/09553232.pdf?arnumber=9553232

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Metodología de navegación autónoma precisa para aplicaciones de fotogrametría aérea;Jornadas de Automática;2024-07-12

2. A Precise Positioning Methodology for Autonomous Navigation of a Tethered UAV for Photogrammetry;2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2024-06-03

3. Automated mapping of bedrock-fracture traces from UAV-acquired images using U-Net convolutional neural networks;Computers & Geosciences;2024-01

4. A Data-Driven Approach for Stylolite Detection;Day 2 Tue, October 17, 2023;2023-10-09

5. Smart outcrop models from geological data inference using machine learning;Rio Oil and Gas Expo and Conference;2022-09-26

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