A low-cost regularization strategy for the 3D reconstruction of wind turbines based on remote sensing images
Author:
Affiliation:
1. School of Automation, Harbin University of Science and Technology, Harbin, China
2. School of Maritime Economics and Management, Dalian Maritime University, Dalian, China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2023.2293471
Reference21 articles.
1. Callieri, M., G. Ranzuglia, M. Dellepiane, P. Cignoni, and R. Scopigno. 2012. “Meshlab as a Complete Open Tool for the Integration of Photos and Colour with High-Resolution 3D Geometry Data.” In Computer Applications and Quantitative Methods in Archaeology, Southampton, UK, 406–416. Amsterdam University Press.
2. Digital twin real time monitoring method of turbine blade performance based on numerical simulation
3. The algorithm of stereo vision and shape from shading based on endoscope imaging
4. A Path Aggregation Network Based on Residual Feature Enhancement for Object Detection in Remote Sensing Imagery
5. Damage detection techniques for wind turbine blades: A review
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