Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/49794
Title: Advantages in Using Colour Calibration for Orthophoto Reconstruction
Authors: Tocci, Francesco
Figorilli, Simone
Vasta, Simone
Violino, Simona
Pallottino, Federico
Ortenzi, Luciano 
Costa, Corrado
Journal: SENSORS 
Issue Date: 2023
Abstract: 
UAVs are sensor platforms increasingly used in precision agriculture, especially for crop and environmental monitoring using photogrammetry. In this work, light drone flights were performed on three consecutive days (with different weather conditions) on an experimental agricultural field to evaluate the photogrammetric performances due to colour calibration. Thirty random reconstructions from the three days and six different areas of the field were performed. The results showed that calibrated orthophotos appeared greener and brighter than the uncalibrated ones, better representing the actual colours of the scene. Parameter reporting errors were always lower in the calibrated reconstructions and the other quantitative parameters were always lower in the non-calibrated ones, in particular, significant differences were observed in the percentage of camera stations on the total number of images and the reprojection error. The results obtained showed that it is possible to obtain better orthophotos, by means of a calibration algorithm, to rectify the atmospheric conditions that affect the image obtained. This proposed colour calibration protocol could be useful when integrated into robotic platforms and sensors for the exploration and monitoring of different environments.
URI: http://hdl.handle.net/2067/49794
ISSN: 1424-8220
DOI: 10.3390/s22176490
Rights: Attribution 4.0 International
Appears in Collections:A1. Articolo in rivista

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