3D PHOTOGRAMMETRIC INSPECTION OF RISERS USING RPAS AND DEEP LEARNING IN OIL AND GAS OFFSHORE PLATFORMS

3D PHOTOGRAMMETRIC INSPECTION OF RISERS USING RPAS AND DEEP LEARNING IN OIL AND GAS OFFSHORE PLATFORMS

The purpose of this paper is to show how deep learning techniques, based on CNNs, can contribute to photogrammetry process to perform geometric inspections of risers on offshore platforms. The photogrammetry process has a problematic related to the relative movements presented in the scene where the...

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Bibliographic Details
Main Authors: J. D. Salazar, P. Buschinelli, G. Marcellino, M. Machado, H. Rodrigues, D. Regner, D. Oliveira, J. M. Santos, C. A. Marinho, M. R. Stemmer, T. C. Pinto
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1265/2020/isprs-archives-XLIII-B2-2020-1265-2020.pdf

Internet

https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1265/2020/isprs-archives-XLIII-B2-2020-1265-2020.pdf

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