Automating Ground Control Point Detection in Drone Imagery: From Computer Vision to Deep Learning

Automating Ground Control Point Detection in Drone Imagery: From Computer Vision to Deep Learning

Drone-based photogrammetry typically requires the task of georeferencing aerial images by detecting the center of Ground Control Points (GCPs) placed in the field. Since this is a very labor-intensive task, it could benefit greatly from automation. In this study, we explore the extent to which tradi...

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Bibliographic Details
Main Authors: Gonzalo Muradás Odriozola, Klaas Pauly, Samuel Oswald, Dries Raymaekers
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
drones
photogrammetry
ground control points
GCPs
RGB
computer vision
Online Access:https://www.mdpi.com/2072-4292/16/5/794

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