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An accelerated image matching technique for UAV orthoimage registration / Chung-Hsien Tsai in ISPRS Journal of photogrammetry and remote sensing, vol 128 (June 2017)
[article]
Titre : An accelerated image matching technique for UAV orthoimage registration Type de document : Article/Communication Auteurs : Chung-Hsien Tsai, Auteur ; Yu-Ching Lin, Auteur Année de publication : 2017 Article en page(s) : pp 130 - 145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse spatiale
[Termes IGN] appariement d'images
[Termes IGN] drone
[Termes IGN] image aérienne
[Termes IGN] orthoimageRésumé : (Auteur) Using an Unmanned Aerial Vehicle (UAV) drone with an attached non-metric camera has become a popular low-cost approach for collecting geospatial data. A well-georeferenced orthoimage is a fundamental product for geomatics professionals. To achieve high positioning accuracy of orthoimages, precise sensor position and orientation data, or a number of ground control points (GCPs), are often required. Alternatively, image registration is a solution for improving the accuracy of a UAV orthoimage, as long as a historical reference image is available. This study proposes a registration scheme, including an Accelerated Binary Robust Invariant Scalable Keypoints (ABRISK) algorithm and spatial analysis of corresponding control points for image registration. To determine a match between two input images, feature descriptors from one image are compared with those from another image. A “Sorting Ring” is used to filter out uncorrected feature pairs as early as possible in the stage of matching feature points, to speed up the matching process. The results demonstrate that the proposed ABRISK approach outperforms the vector-based Scale Invariant Feature Transform (SIFT) approach where radiometric variations exist. ABRISK is 19.2 times and 312 times faster than SIFT for image sizes of 1000 × 1000 pixels and 4000 × 4000 pixels, respectively. ABRISK is 4.7 times faster than Binary Robust Invariant Scalable Keypoints (BRISK). Furthermore, the positional accuracy of the UAV orthoimage after applying the proposed image registration scheme is improved by an average of root mean square error (RMSE) of 2.58 m for six test orthoimages whose spatial resolutions vary from 6.7 cm to 10.7 cm. Numéro de notice : A2017-333 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.03.017 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.03.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85486
in ISPRS Journal of photogrammetry and remote sensing > vol 128 (June 2017) . - pp 130 - 145[article]Réservation
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[article]
Titre : Drones: climbing to the next level Type de document : Article/Communication Auteurs : François Gervaix, Auteur Année de publication : 2017 Article en page(s) : pp 18 - 20 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] droneRésumé : (éditeur) Scarcely a week goes by without drones making the headlines. Geoconnexion caught up with Francois Gervaix, surveying product manager at sensefly, to get a sense of what the company is doing and where the industry is headed. Numéro de notice : A2017-203 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85010
in GEO: Geoconnexion international > vol 16 n° 6 (June2017) . - pp 18 - 20[article]I’m walking here! Checking the accuracy of an inertial-based pedestrian navigation system with a drone / Marcin Uradzinski in GPS world, vol 28 n° 6 (June 2017)
[article]
Titre : I’m walking here! Checking the accuracy of an inertial-based pedestrian navigation system with a drone Type de document : Article/Communication Auteurs : Marcin Uradzinski, Auteur ; Hang Guo, Auteur ; Clifford Mugnier, Auteur Année de publication : 2017 Article en page(s) : pp 58 - 64 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] drone
[Termes IGN] filtre de Kalman
[Termes IGN] navigation à l'estime
[Termes IGN] navigation pédestre
[Termes IGN] piéton
[Termes IGN] positionnement en intérieurRésumé : (Auteur) Satellite navigation systems have achieved great success in personal positioning applications. Nowadays, GNSS is an essential tool for outdoor navigation, but locating a user’s position in degraded and denied indoor environments is still a challenging task. During the past decade, methodologies have been proposed based on inertial sensors for determining a person’s location to solve this problem. One such solution is a personal pedestrian dead reckoning (PDR) system, which helps in obtaining a seamless indoor/outdoor position. Built-in sensors measure the acceleration to determine pace count and estimate the pace length to predict position with heading information coming from angular sensors such as magnetometers or gyroscopes. PDR positioning solutions find many applications in security monitoring, personal services, navigation in shopping centers and hospitals and for guiding blind pedestrians. Several dead-reckoning navigation algorithms for use with inertial measurement units (IMUs) have been proposed. However, these solutions are very sensitive to the alignment of the sensor units, the inherent instrumental errors, and disturbances from the ambient environment - problems that cause accuracy to decrease over time. In such situations, additional sensors are often used together with an IMU, such as ZigBee radio beacons with position estimated from received signal strength. In this article, we present a PDR indoor positioning system we designed, tested and analyzed. It is based on the pace detection of a foot-mounted IMU, with the use of extended Kalman filter (EKF) algorithms to estimate the errors accumulated by the sensors. Numéro de notice : A2017-294 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85332
in GPS world > vol 28 n° 6 (June 2017) . - pp 58 - 64[article]Low aerial imagery – an assessment of georeferencing errors and the potential for use in environmental inventory / Maciej Smaczyński in Geodesy and cartography, vol 66 n° 1 (June 2017)
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Titre : Low aerial imagery – an assessment of georeferencing errors and the potential for use in environmental inventory Type de document : Article/Communication Auteurs : Maciej Smaczyński, Auteur ; Beata Medyńska-Gulij, Auteur Année de publication : 2017 Article en page(s) : pp 89 - 104 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie
[Termes IGN] drone
[Termes IGN] image aérienne
[Termes IGN] point d'appuiRésumé : (auteur) Unmanned aerial vehicles are increasingly being used in close range photogrammetry. Real-time observation of the Earth’s surface and the photogrammetric images obtained are used as material for surveying and environmental inventory. The following study was conducted on a small area (approximately 1 ha). In such cases, the classical method of topographic mapping is not accurate enough. The geodetic method of topographic surveying, on the other hand, is an overly precise measurement technique for the purpose of inventorying the natural environment components. The author of the following study has proposed using the unmanned aerial vehicle technology and tying in the obtained images to the control point network established with the aid of GNSS technology. Georeferencing the acquired images and using them to create a photogrammetric model of the studied area enabled the researcher to perform calculations, which yielded a total root mean square error below 9 cm. The performed comparison of the real lengths of the vectors connecting the control points and their lengths calculated on the basis of the photogrammetric model made it possible to fully confirm the RMSE calculated and prove the usefulness of the UAV technology in observing terrain components for the purpose of environmental inventory. Such environmental components include, among others, elements of road infrastructure, green areas, but also changes in the location of moving pedestrians and vehicles, as well as other changes in the natural environment that are not registered on classical base maps or topographic maps. Numéro de notice : A2017-786 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1515/geocart-2017-0005 En ligne : https://doi.org/10.1515/geocart-2017-0005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89098
in Geodesy and cartography > vol 66 n° 1 (June 2017) . - pp 89 - 104[article]The power of UAVs / Jakub Karas in GEO: Geoconnexion international, vol 16 n° 6 (June2017)
[article]
Titre : The power of UAVs Type de document : Article/Communication Auteurs : Jakub Karas, Auteur Année de publication : 2017 Article en page(s) : pp 36 - 38 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] drone
[Termes IGN] forêt
[Termes IGN] frontière
[Termes IGN] lever aérien
[Termes IGN] ligne électriqueRésumé : (éditeur) UAVs have many strengths, but how would they fare when trying to inspect powerlines in heavily forested areas on the CZECH-GERMAN border? Jakub Karas explains how not one but three different types of UAV are needed. Numéro de notice : A2017-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85014
in GEO: Geoconnexion international > vol 16 n° 6 (June2017) . - pp 36 - 38[article]Conférence drones CNAM / Anonyme in Géomatique expert, n° 116 (mai - juin 2017)PermalinkJournées de la Recherche IGN à l'ENSG / Anonyme in Géomatique expert, n° 116 (mai - juin 2017)PermalinkLightweight UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications / Mehdi Daakir in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)PermalinkForestry applications of UAVs in Europe: a review / Chiara Torresan in International Journal of Remote Sensing IJRS, vol 38 n° 8-10 (April 2017)PermalinkUAS, sensors, and data processing in agroforestry: a review towards practical applications / Luis Padua in International Journal of Remote Sensing IJRS, vol 38 n° 8-10 (April 2017)PermalinkActive interseismic shallow deformation of the Pingting terraces (Longitudinal Valley – Eastern Taiwan) from UAV high-resolution topographic data combined with InSAR time series / Benoit Deffontaines in Geomatics, Natural Hazards and Risk, vol 8 (2017)PermalinkAssessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system / Ryan L. Perroy in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)PermalinkIndustrialisation des processus d'extraction d'objets à partir de données photogrammétriques par drones / Jérémie Brossard in XYZ, n° 150 (mars - mai 2017)PermalinkLe relevé en 3D du pic du Midi d'Ossau par les géomètres-experts des Pyrénées-Atlantiques (2ème épisode) / Bernard Flacelière in XYZ, n° 150 (mars - mai 2017)PermalinkCartographie et interprétation de l'environnement par drone / Martial Sanfourche in Revue Française de Photogrammétrie et de Télédétection, n° 213 - 214 (janvier - avril 2017)PermalinkDétection de l'érosion dans un bassin versant agricole par comparaison d'images multidates acquises par drone / Jonathan Lisein in Revue Française de Photogrammétrie et de Télédétection, n° 213 - 214 (janvier - avril 2017)PermalinkFaucon noir : retour d'expérience sur une étude de la biodiversité par drone / Laurent Beaudoin in Revue Française de Photogrammétrie et de Télédétection, n° 213 - 214 (janvier - avril 2017)PermalinkImplementation of a real-time stacking algorithm in a photogrammetric digital camera for UAVs / Ahmad Audi (2017)PermalinkPermalinkModèle numérique de terrain par drone photogrammétrique sur le littoral de l’île d’Oléron / Steven Humbert (2017)PermalinkPermalinkn° 213 - 214 - janvier - avril 2017 - Spécial drones (Bulletin de Revue Française de Photogrammétrie et de Télédétection)PermalinkTélédétection pour l'observation des surfaces continentales, Ch. 2. Analyse de scènes urbaines avec un véhicule de cartographie mobile / Bruno Vallet (2017)PermalinkPermalinkVol au-dessus d'un tas de cailloux : l'usage en archéologie de photographies réalisées avec un cerf-volant / Olivier Barge in Revue Française de Photogrammétrie et de Télédétection, n° 213 - 214 (janvier - avril 2017)Permalink