Combining Interior Orientation Variables to Predict the Accuracy of Rpas–Sfm 3D Models

Combining Interior Orientation Variables to Predict the Accuracy of Rpas–Sfm 3D Models

Remotely piloted aerial systems (RPAS) have been recognized as an effective low-cost tool to acquire photogrammetric data of low accessible areas reducing collection and processing time. Data processing techniques like structure from motion (SfM) and multiview stereo (MVS) techniques, can nowadays p...

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Bibliographic Details
Main Authors: Alessandra Capolupo, Mirko Saponaro, Enrico Borgogno Mondino, Eufemia Tarantino
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
camera calibration
3D model accuracy
metric reconstruction
principal components analysis (PCA)
predictive analysis
Online Access:https://www.mdpi.com/2072-4292/12/17/2674

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