Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning
By Fabio Remondino. Remote Sensing, 2011
899 citations recorded by the source corpus.
The importance of landscape and heritage recording and documentation with optical remote sensing sensors is well recognized at international level. The continuous development of new sensors, data capture methodologies and multi-resolution 3D representations, contributes significantly to the digital 3D documentation, mapping, conservation and representation of landscapes and heritages and to the growth of research in this field. This article reviews the actual optical 3D measurement sensors and 3D modeling techniques, with their limitations and potentialities, requirements and specifications. Examples of 3D surveying and modeling of heritage sites and objects are also shown throughout the paper.
Subfields: Aerospace Engineering, Environmental Engineering, Geology
View Paper: https://www.semanticscholar.org/paper/ad3480a8d72319699c9a9f22cb77951c38cac7c7
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In Aerospace Engineering
In Environmental Engineering
- Ismael Colomina
- Markus Gerke
- Fei Liu
- Michael A. Chapman
- Jonathan Li
- Ying Li
- Francesco Nex
- Dongpu Cao
In Geology
Citations in the corpus
- Review of the Current State of UAV Regulations (2017, background): “The range of distinct applications spreads through various civil applications, including high-resolution surface reconstruction in the geosciences [7–10], documentation of cultural heritage and archaeological sites [11], agriculture and forest change detection [12–16], support for disaster managemen”
- Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review (2020, background): “image data lack of 3D geo-referenced information [6].”
- Unmanned aerial systems for photogrammetry and remote sensing: A review (2014, methodology): “For ease of comparison, we follow the same structure as in Remondino (2011) for the visible-band cameras.”