Advantages in Using Colour Calibration for Orthophoto Reconstruction

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 evaluat...
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Gespeichert in:

Autor*in:	Francesco Tocci [verfasserIn] Simone Figorilli [verfasserIn] Simone Vasta [verfasserIn] Simona Violino [verfasserIn] Federico Pallottino [verfasserIn] Luciano Ortenzi [verfasserIn] Corrado Costa [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	UAV UGV drones mapping precision agriculture environmental monitoring

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 22(2022), 17, p 6490
Übergeordnetes Werk:	volume:22 ; year:2022 ; number:17, p 6490

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s22176490

Katalog-ID:	DOAJ033512612

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allfieldsSound	10.3390/s22176490 doi (DE-627)DOAJ033512612 (DE-599)DOAJ8fa846db6fd64da4b99911a5e3136393 DE-627 ger DE-627 rakwb eng TP1-1185 Francesco Tocci verfasserin aut Advantages in Using Colour Calibration for Orthophoto Reconstruction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. UAV UGV drones mapping precision agriculture environmental monitoring Chemical technology Simone Figorilli verfasserin aut Simone Vasta verfasserin aut Simona Violino verfasserin aut Federico Pallottino verfasserin aut Luciano Ortenzi verfasserin aut Corrado Costa verfasserin aut In Sensors MDPI AG, 2003 22(2022), 17, p 6490 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:22 year:2022 number:17, p 6490 https://doi.org/10.3390/s22176490 kostenfrei https://doaj.org/article/8fa846db6fd64da4b99911a5e3136393 kostenfrei https://www.mdpi.com/1424-8220/22/17/6490 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 17, p 6490
language	English
source	In Sensors 22(2022), 17, p 6490 volume:22 year:2022 number:17, p 6490
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authorswithroles_txt_mv	Francesco Tocci @@aut@@ Simone Figorilli @@aut@@ Simone Vasta @@aut@@ Simona Violino @@aut@@ Federico Pallottino @@aut@@ Luciano Ortenzi @@aut@@ Corrado Costa @@aut@@
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callnumber-first	T - Technology
author	Francesco Tocci
spellingShingle	Francesco Tocci misc TP1-1185 misc UAV misc UGV misc drones misc mapping misc precision agriculture misc environmental monitoring misc Chemical technology Advantages in Using Colour Calibration for Orthophoto Reconstruction
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topic_title	TP1-1185 Advantages in Using Colour Calibration for Orthophoto Reconstruction UAV UGV drones mapping precision agriculture environmental monitoring
topic	misc TP1-1185 misc UAV misc UGV misc drones misc mapping misc precision agriculture misc environmental monitoring misc Chemical technology
topic_unstemmed	misc TP1-1185 misc UAV misc UGV misc drones misc mapping misc precision agriculture misc environmental monitoring misc Chemical technology
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title	Advantages in Using Colour Calibration for Orthophoto Reconstruction
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title_full	Advantages in Using Colour Calibration for Orthophoto Reconstruction
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title_sort	advantages in using colour calibration for orthophoto reconstruction
callnumber	TP1-1185
title_auth	Advantages in Using Colour Calibration for Orthophoto Reconstruction
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.
abstractGer	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.
abstract_unstemmed	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.
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container_issue	17, p 6490
title_short	Advantages in Using Colour Calibration for Orthophoto Reconstruction
url	https://doi.org/10.3390/s22176490 https://doaj.org/article/8fa846db6fd64da4b99911a5e3136393 https://www.mdpi.com/1424-8220/22/17/6490 https://doaj.org/toc/1424-8220
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Advantages in Using Colour Calibration for Orthophoto Reconstruction

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