Advantages in Using Colour Calibration for Orthophoto Reconstruction
Author(s)
Date Issued
2023
Type
article
Volume
22
Issue
17
Journal
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.
Additional information
Author Contributions
Conceptualisation, F.P. and C.C.; Data curation, S.F., F.P., and C.C.; Formal analysis, F.T., S.F., S.V. (Simone Vasta), and C.C.; Funding acquisition, C.C.; Investigation, S.V. (Simona Violino), F.P., and C.C.; Methodology, S.F. and C.C.; Project administration, F.P. and C.C.; Resources, F.P. and C.C.; Software, F.T., S.F., S.V. (Simone Vasta), L.O., and C.C.; Supervision, S.F. and C.C.; Validation, S.F., S.V. (Simone Vasta), F.P., L.O., and C.C.; Visualisation, F.T. and S.V. (Simona Violino); Writing—original draft, F.T., S.F., S.V. (Simona Violino), F.P., and C.C.; Writing—review and editing, S.V. (Simona Violino), F.P., and C.C. All authors have read and agreed to the published version of the manuscript.
Conceptualisation, F.P. and C.C.; Data curation, S.F., F.P., and C.C.; Formal analysis, F.T., S.F., S.V. (Simone Vasta), and C.C.; Funding acquisition, C.C.; Investigation, S.V. (Simona Violino), F.P., and C.C.; Methodology, S.F. and C.C.; Project administration, F.P. and C.C.; Resources, F.P. and C.C.; Software, F.T., S.F., S.V. (Simone Vasta), L.O., and C.C.; Supervision, S.F. and C.C.; Validation, S.F., S.V. (Simone Vasta), F.P., L.O., and C.C.; Visualisation, F.T. and S.V. (Simona Violino); Writing—original draft, F.T., S.F., S.V. (Simona Violino), F.P., and C.C.; Writing—review and editing, S.V. (Simona Violino), F.P., and C.C. All authors have read and agreed to the published version of the manuscript.
Subjects
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sensors-22-06490.pdf
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Project(s)
MiPAAFT-sottoprogetto “Tecnologie digitali integrate per il rafforzamento sostenibile di produzioni e trasformazioni agroalimentari (AgroFiliere)” (AgriDigit program) (DM 36503.7305.2018 of 20/12/2018).