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Accuracy analysis of UAV photogrammetry using RGB and multispectral sensors / Nikola Santrač in Geodetski vestnik, vol 67 n° 4 (December 2023)  

Public [article]  inGeodetski vestnik > vol 67 n° 4 (December 2023) . - pp 459 - 472 Titre : Accuracy analysis of UAV photogrammetry using RGB and multispectral sensors Type de document : Article/Communication Auteurs : Nikola Santrač, Auteur ; Pavel Benka, Auteur ; Mehmed Batilović, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 459 - 472 Note générale : bibliographie Langues : Anglais (eng) Slovène (slv) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] image captée par drone [Termes IGN] image multibande [Termes IGN] image RVB [Termes IGN] modèle géométrique de prise de vue [Termes IGN] point d'appui [Termes IGN] positionnement cinématique en temps réel [Termes IGN] qualité des données Résumé : (auteur) In recent years, unmanned aerial vehicles (UAVs) have become increasingly important as a tool for quickly collecting high-resolution (spatial and spectral) imagery of the Earth's surface. The final products are highly dependent on the choice of values for various parameters in flight planning, the type of sensors, and the processing of the data. In this paper ground control points (GCPs) were first measured using the Global Navigation Satellite System (GNSS) Real-Time Kinematic (RTK) method, and then due to the low height accuracy of the GNSS RTK method all points were measured using a detailed leveling method. This study aims to provide a basic assessment of quality, including four main aspects: (1) the difference between an RGB sensor and a five-band multispectral sensor on accuracy and the amount of data, (2) the impact of the number of GCPs on the accuracy of the final products, (3) the impact of different altitudes and cross flight strips, and (4) the accuracy analysis of multi-altitude models. The results suggest that the type of sensor, flight configuration, and GCP setup strongly affect the quality and quantity of the final product data while creating a multi-altitude model does not result in the expected quality of data. With its unique combination of sensors and parameters, the results and recommendations presented in this paper can assist professionals and researchers in their future work. Numéro de notice : A2023-241 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.15292/geodetski-vestnik.2023.04.459-472 Date de publication en ligne : 01/12/2023 En ligne : https://dx.doi.org/10.15292/geodetski-vestnik.2023.04.459-472 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103604 [article]

Deformation analysis: the modified GREDOD method / Mehmed Batilović in Geodetski vestnik, vol 66 n° 1 (March 2022)  

Public [article]  inGeodetski vestnik > vol 66 n° 1 (March 2022) . - pp 60 - 75 Titre : Deformation analysis: the modified GREDOD method Type de document : Article/Communication Auteurs : Mehmed Batilović, Auteur ; Željko Kanović, Auteur ; Zoran Sušić, Auteur ; Marko Z. Marković, Auteur ; Vladimir Bulatović, Auteur Année de publication : 2022 Article en page(s) : pp 60 - 75 Note générale : bibliographie Langues : Anglais (eng) Slovène (slv) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux [Termes IGN] algorithme génétique [Termes IGN] déformation géométrique [Termes IGN] méthode robuste [Termes IGN] optimisation par essaim de particules Résumé : (auteur) In this paper, a modified Generalised Robust Estimation of Deformation from Observation Differences (GREDOD) method is presented, based on the application of genetic algorithm (GA) and generalised particle swarm optimisation (GPSO) algorithm in solving the optimisation problem of this method, which is, in essence, a problem of determining the optimal datum of the displacement vector. The procedure of deformation analysis using this modification of the GREDOD method is demonstrated in the example of the two-dimensional geodetic network presented in numerous research and in which all observations and displacements were simulated. Using both algorithms, GA and GPSO, almost identical results of deformation analysis were obtained, except datum solutions of the displacement vector, which are completely different. These results differ only slightly from the results obtained using the methods of Hannover, Karlsruhe, Delft, Fredericton, München, Caspary, and the classical robust method. Numéro de notice : A2022-453 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.15292/geodetski-vestnik.2022.01.60-75 En ligne : https://dx.doi.org/10.15292/geodetski-vestnik.2022.01.60-75 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100984 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
139-2022011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Increasing efficiency of the robust deformation analysis methods using genetic algorithm and generalised particle swarm optimisation / Mehmed Batilović in Survey review, Vol 53 n° 378 (May 2021)  

Public [article]  inSurvey review > Vol 53 n° 378 (May 2021) . - pp 193 - 205 Titre : Increasing efficiency of the robust deformation analysis methods using genetic algorithm and generalised particle swarm optimisation Type de document : Article/Communication Auteurs : Mehmed Batilović, Auteur ; Zoran Sušić, Auteur ; Željko Kanović, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 193 - 205 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie [Termes IGN] algorithme génétique [Termes IGN] barrage [Termes IGN] déformation de la croute terrestre [Termes IGN] itération [Termes IGN] méthode de Monte-Carlo [Termes IGN] méthode des moindres carrés [Termes IGN] méthode robuste [Termes IGN] optimisation par essaim de particules [Termes IGN] Serbie [Termes IGN] surveillance d'ouvrage [Termes IGN] transformation IWST Résumé : (auteur) The paper analyses the possibility of increasing efficiency of the Iterative Weighted Similarity Transformation (IWST) method, which is a prototype of classic robust methods, using global optimisation approach instead of classical one, available in the literature. For the purpose of solving the optimisation problem of the IWST method, in addition to the Iterative Reweighted Least Squares (IRLS) method, the Genetic algorithm (GA) and Generalised Particle Swarm Optimisation (GPSO) algorithm were applied, in order to overcome some flaws of IRLS method. Experimental research was performed based on the Monte Carlo simulation using the mean success rate (MSR) on the example of the geodetic control network for monitoring the Šelevrenac dam in the Republic of Serbia. By using the GA and GPSO algorithms, the overall efficiency of the IWST method has been increased by about 18% compared to the IRLS method. Also, it has been determined that the efficiency of the IRLS method significantly reduces with the increase in the number of displaced potential reference points (PRPs), while the GA and GPSO algorithms’ efficiency does not change significantly. The values of overall absolute true errors due to the increased number of displaced PRPs in the GA and GPSO algorithms did not change notably while with the IRLS method their values increased significantly. Numéro de notice : A2021-402 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2019.1706294 Date de publication en ligne : 04/01/2020 En ligne : https://doi.org/10.1080/00396265.2019.1706294 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97715 [article]

The efficiency of different outlier detection approaches in geodetic networks: case study for Pobednik statue / Mehmed Batilović in Geodetski vestnik, vol 62 n° 2 (June 2018)  

Public [article]  inGeodetski vestnik > vol 62 n° 2 (June 2018) . - pp 293 - 305 Titre : The efficiency of different outlier detection approaches in geodetic networks: case study for Pobednik statue Type de document : Article/Communication Auteurs : Mehmed Batilović, Auteur ; Zoran Sušić, Auteur ; Marko Z. Marković, Auteur ; Marijana Vujinović, Auteur ; Gojko Nikolić, Auteur ; Toša Ninkov, Auteur Année de publication : 2018 Article en page(s) : pp 293 - 305 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie [Termes IGN] Belgrade [Termes IGN] fortification [Termes IGN] méthode robuste [Termes IGN] réseau de contrôle [Termes IGN] valeur aberrante Résumé : (auteur) In the paper, the efficacy of two different approaches for outlier detection in geodetic networks is analysed on a test example of a control network for geodetic monitoring of the Pobednik statue in the Kalemegdan Fortress in Belgrade by applying the mean success rate (MSR). Conventional tests and robust methods were applied for detecting outliers. The experimental results indicate that the new approach based on original observations provides higher efficiency of the applied methods than the classical approach for outlier detection in geodetic networks. Numéro de notice : A2018-253 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.15292/geodetski-vestnik.2018.02.293-305 En ligne : https://doi.org/10.15292/geodetski-vestnik.2018.02.293-305 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90314 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
139-2018021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Identification of movements using different geodetic methods of deformation analysis / Zoran Sušić in Geodetski vestnik, vol 59 n° 3 (September - November 2015)  

Public [article]  inGeodetski vestnik > vol 59 n° 3 (September - November 2015) . - pp 537 - 553 Titre : Identification of movements using different geodetic methods of deformation analysis Type de document : Article/Communication Auteurs : Zoran Sušić, Auteur ; Mehmed Batilović, Auteur ; Toša Ninkov, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 537 - 553 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] analyse comparative [Termes IGN] déformation géométrique [Termes IGN] déformation horizontale de la croute terrestre [Termes IGN] données GNSS [Termes IGN] entretien du réseau [Termes IGN] récepteur GNSS [Termes IGN] réseau géodésique Résumé : (Auteur) This paper is based on comparative analysis of applied analysis methods on geodetic networks deformation, based on two-dimensional components of GNSS baseline vectors simulated by two epochs, for the purpose of identifying significant movements in horizontal plane. The following models of deformation analysis have been applied: Pelzer (Hanover procedure) method, Karlsruhe method, Modified Karlsruhe method, and the method implemented in the JAG3D open-source software. Numéro de notice : A2015-570 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.15292/geodetski-vestnik.2015.03.537-553 En ligne : https://dx.doi.org/10.15292/geodetski-vestnik.2015.03.537-553 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77793 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
139-2015031	RAB	Revue	Centre de documentation	En réserve L003	Disponible