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Digital camera calibration for cultural heritage documentation: the case study of a mass digitization project of religious monuments in Cyprus / Evagoras Evagorou in European journal of remote sensing, vol 54 sup 1 (2021)
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Titre : Digital camera calibration for cultural heritage documentation: the case study of a mass digitization project of religious monuments in Cyprus Type de document : Article/Communication Auteurs : Evagoras Evagorou, Auteur ; Christodoulos Mettas, Auteur ; Athos Agapiou, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 6 - 17 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Agisoft Photoscan
[Termes IGN] auto-étalonnage
[Termes IGN] Chypre
[Termes IGN] distorsion d'image
[Termes IGN] données massives
[Termes IGN] édifice religieux
[Termes IGN] étalonnage d'instrument
[Termes IGN] patrimoine culturel
[Termes IGN] point d'appui
[Termes IGN] texture d'image
[Termes IGN] vision par ordinateur
[Termes IGN] visualisation 3DRésumé : (auteur) The paper summarizes the methodology followed, to evaluate the accuracy of different digitization methods of ecclesiastical monuments in 3D computer vision form and stresses the importance of photographic equipment calibration. In this study, a set of images were taken using the CANON EOS M5 digital camera, while the internal calibration parameters – horizontal and vertical focal length (fx, fy), principal point coordinates (x0, y0), radial distortion coefficients (K1, K2, K3), tangential distortion coefficients (P1, P2) and the affinity and the shear terms (b1, b2) were estimated. These parameters were calculated using different software applications and then analyzed. For the calibration procedure, 3D texture models were built with the Agisoft commercial software based on: (a) the aforementioned calibration parameters and (b) the self-calibration process. The overall accuracy (Root Mean Square – RMS) between these models, by comparing known geo-referenced ground-control-points (GCP) is presented through the Cloud Compare software. The results indicate that the internal calibration parameters of the digital camera used for documentation purposes are essential and should be systematically implemented for documentation purposes. Numéro de notice : A2021-816 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Atlas DOI : 10.1080/22797254.2020.1810131 Date de publication en ligne : 02/09/2020 En ligne : https://doi.org/10.1080/22797254.2020.1810131 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98902
in European journal of remote sensing > vol 54 sup 1 (2021) . - pp 6 - 17[article]Trajectory and image-based detection and identification of UAV / Yicheng Liu in The Visual Computer, vol 37 n° 7 (July 2021)
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Titre : Trajectory and image-based detection and identification of UAV Type de document : Article/Communication Auteurs : Yicheng Liu, Auteur ; Luchuan Liao, Auteur ; Hao Wu, Auteur ; et al., Auteur Année de publication : 2021 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Aves
[Termes IGN] caméra de surveillance PTZ
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] détection d'objet
[Termes IGN] drone
[Termes IGN] forme caractéristique
[Termes IGN] interférence
[Termes IGN] objet mobile
[Termes IGN] reconnaissance de formes
[Termes IGN] trajectoire (véhicule non spatial)Résumé : (auteur) Much more attentions have been attracted to the inspection and prevention of unmanned aerial vehicle (UAV) in the wake of increasing high frequency of security accident. Many factors like the interferences and the small fuselage of UAV pose challenges to the timely detection of the UAV. In our work, we present a system that is capable of detecting, recognizing, and tracking an UAV using single camera automatically. For our method, a single pan–tilt–zoom (PTZ) camera detects flying objects and gets their trajectories; then, the trajectory identified as a UAV guides the camera and PTZ to capture the detailed region image of the target. Therefore, the images can be classified into the UAV and interference classes (such as birds) by the convolution neural network classifier trained with our image dataset. For the target recognized as a UAV with the double verification, the radio jammer emits the interferential radio to disturb its control radio and GPS. This system could be applied in some complex environment where many birds and UAV appear simultaneously. Numéro de notice : A2021-541 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s00371-020-01937-y Date de publication en ligne : 29/07/2020 En ligne : https://doi.org/10.1007/s00371-020-01937-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98020
in The Visual Computer > vol 37 n° 7 (July 2021)[article]Automated calibration of smartphone cameras for 3D reconstruction of mechanical pipes / Reza Maalek in Photogrammetric record, vol 36 n° 174 (June 2021)
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Titre : Automated calibration of smartphone cameras for 3D reconstruction of mechanical pipes Type de document : Article/Communication Auteurs : Reza Maalek, Auteur ; Derek D. Lichti, Auteur Année de publication : 2021 Article en page(s) : pp 124 - 146 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] appariement de formes
[Termes IGN] auto-étalonnage
[Termes IGN] canalisation
[Termes IGN] compensation par faisceaux
[Termes IGN] ellipse
[Termes IGN] étalonnage d'instrument
[Termes IGN] reconstruction 3D
[Termes IGN] structure-from-motion
[Termes IGN] téléphone intelligent
[Termes IGN] triangulationRésumé : (auteur) This paper outlines a new framework for the calibration of optical instruments, in particular smartphone cameras, using highly redundant circular black-and-white target fields. New methods were introduced for (i) matching targets between images; (ii) adjusting the systematic eccentricity error of target centres; and (iii) iteratively improving the calibration solution through a free-network self-calibrating bundle adjustment. The proposed method effectively matched circular targets in 270 smartphone images, taken within a calibration laboratory, with robustness to type II errors (false negatives). The proposed eccentricity adjustment, which requires only camera projective matrices from two views, behaved comparably to available closed-form solutions, which require additional a priori object-space target information. Finally, specifically for the case of mobile devices, the calibration parameters obtained using the framework were found to be superior compared to in situ calibration for estimating the 3D reconstructed radius of a mechanical pipe (approximately 45% improvement on average). Numéro de notice : A2021-512 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12364 Date de publication en ligne : 06/06/2021 En ligne : https://doi.org/10.1111/phor.12364 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97929
in Photogrammetric record > vol 36 n° 174 (June 2021) . - pp 124 - 146[article]Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle / Lucas Santos Santana in European journal of remote sensing, vol 54 n° 1 (2021)
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Titre : Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle Type de document : Article/Communication Auteurs : Lucas Santos Santana, Auteur ; Gabriel Araújo E Silva Ferraz, Auteur ; Diego Bedin Marin, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 59 - 71 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] altitude
[Termes IGN] capteur aérien
[Termes IGN] géoréférencement
[Termes IGN] hauteur de vol
[Termes IGN] image captée par drone
[Termes IGN] Minas Gerais (Brésil)
[Termes IGN] modèle numérique de terrain
[Termes IGN] photogrammétrie aérienne
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (auteur) This study aimed to explore the influence of flight altitude, density, and distribution of ground control points (GCPs) on the digital terrain model (DTM) in surveys conducted by unmanned aerial vehicles (UAVs). A total of 144 photogrammetric projects consisting of 399 aerial photos were carried out in a 2 ha area. These photogrammetric projects involved six GCP distributions (edge, center, diagonal, parallel, stratified, and random), six GCP densities, and four flight altitudes (30, 60, 90, and 120 m). The response surface methodology was used to find interference factors and total root-mean-square error (RMSEt) as well. The 60 m flight altitude presented was the most efficient. Central GCP distribution was observed to have low precision. Using stratified and random edge distributions, 10 GCPs are recommended to achieve geometric precision below 0.07 m at any flight height. However, for studies requiring up to 0.07 m precision, the best distribution was parallel with 4 GCPs at any altitude. Diagonal positioning of the GCPs showed RMSEt values below 0.11 m with 4 GCPs at any altitude. A good distribution of GCPs was found to be important, but the density of GCPs per image was more relevant when obtaining a lower RMSEt. Numéro de notice : A2021-155 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/22797254.2020.1845104 Date de publication en ligne : 10/01/2021 En ligne : https://doi.org/10.1080/22797254.2020.1845104 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97018
in European journal of remote sensing > vol 54 n° 1 (2021) . - pp 59 - 71[article]
Titre : Advanced sensors for real-time monitoring applications Type de document : Monographie Auteurs : Olga Korostynska, Éditeur scientifique ; Alex Mason, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 350 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-0427-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] capteur actif
[Termes IGN] capteur imageur
[Termes IGN] capteur ultrasonore
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] surveillance
[Termes IGN] temps réelRésumé : (éditeur) It is impossible to imagine the modern world without sensors, or without real-time information about almost everything—from local temperature to material composition and health parameters. We sense, measure, and process data and act accordingly all the time. In fact, real-time monitoring and information is key to a successful business, an assistant in life-saving decisions that healthcare professionals make, and a tool in research that could revolutionize the future. To ensure that sensors address the rapidly developing needs of various areas of our lives and activities, scientists, researchers, manufacturers, and end-users have established an efficient dialogue so that the newest technological achievements in all aspects of real-time sensing can be implemented for the benefit of the wider community. This book documents some of the results of such a dialogue and reports on advances in sensors and sensor systems for existing and emerging real-time monitoring applications. Note de contenu : 1- Real-time water quality monitoring with chemical sensors
2- Body condition score estimation based on regression analysis using a 3D camera
3- Wireless module for nondestructive testing/structural health monitoring applications based on solitary waves
4- Quantified activity measurement for medical use in movement disorders through IR-UWB radar sensor
5- Pre-pressure optimization for ultrasonic motors based on multi-sensor fusion
6- On-line monitoring of pipe wall thinning by a high temperature ultrasonic waveguide system at the flow accelerated corrosion proof facility
7- A low-cost continuous turbidity monitor
8- Laboratory calibration and field validation of soil water content and salinity measurements using the 5TE sensor
9- Quantitative analysis of elements in fertilizer using laser-induced breakdown spectroscopy coupled with support vector regression model
10- Univariate and multivariate analysis of phosphorus element in fertilizers using laser-induced breakdown spectroscopy
11- The efficiency of color space channels to quantify color and color intensity change in liquids, pH strips, and lateral flow assays with smartphones
12- An innovative ultrasonic apparatus and technology for diagnosis of freeze-drying process
13- Temperature and strain correlation of bridge parallel structure based on vibrating wire strain sensor
14- Train hunting related fast degradation of a railway crossing—condition monitoring and numerical verification
15- Correlation analysis and verification of railway crossing condition monitoring
16- A novel monitoring approach for train tracking and incursion detection in underground structures based on ultra-weak FBG sensing array
17- Digital approach to rotational speed measurement using an electrostatic sensor
18- Multi-factor operating condition recognition using 1D convolutional long short-term network
19- Comprehensive improvement of the sensitivity and detectability of a large-aperture electromagnetic wear particle detector
20- Analysis of satellite compass error’s spectrumNuméro de notice : 28598 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-0427-8 En ligne : https://doi.org/10.3390/books978-3-0365-0427-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99377 PermalinkExploiting multi-camera constraints within bundle block adjustment: an experimental comparison / Eleonora Maset (2021)
PermalinkPermalinkMise en place de nouvelles méthodes d’acquisition par lasergrammétrie en milieu difficile et couvert forestier en vue de la construction d’un parc éolien / Jean-Baptiste Myotte-Duquet (2021)
PermalinkOptimisation et développement des solutions photogrammétriques pour la réalisation des relevés de façade au sein du cabinet ELLIPSE Géomètres-Experts / Guillaume Jeannin (2021)
PermalinkThe Influence of camera calibration on nearshore bathymetry estimation from UAV Vvdeos / Gonzalo Simarro in Remote sensing, vol 13 n° 1 (January-1 2021)
PermalinkVers un protocole de calibration de caméras statiques à l'aide d'un drone / Jean-François Villeforceix (2021)
PermalinkCalibration of frequency shift system of wind imaging interferometer / Yongqiang Sun in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 12 (December 2020)
PermalinkTowards online UAS‐based photogrammetric measurements for 3D metrology inspection / Fabio Menna in Photogrammetric record, vol 35 n° 172 (December 2020)
PermalinkOn-Orbit Calibration of Terra MODIS VIS Bands Using Polarization-Corrected Desert Observations / Amit Angal in IEEE Transactions on geoscience and remote sensing, vol 58 n° 8 (August 2020)
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