Photogrammetric research

The researchers are mainly involved in applied photogrammetric research, to a lesser extent in remote sensing research, including urban ecological research.

Main research areas:

  • Investigation of the automation of photogrammetric orientations.
  • Development of new pattern and shape matching algorithms based on digital stereo image pairs.
  • Comparative analysis of gross-error filtering procedures.
  • For solving nonlinear photogrammetric problems, combining the equilibration procedure with Jacobi mean formation and the Gaussian least squares method into one procedure to increase the computational / processing efficiency.
  • Production and accuracy testing of digital terrain models.
  • Application possibilities of digital terrain and surface models
  • Field calibration of UAV-based complex systems
  • Camera calibration in lab
  • Terrestrial laser scanner measurements
  • Point cloud processing
  • Selenographic georeferencing and accuracy assessment of digital lunar images produced using the Lucky Imaging technique.
  • Determination of direct exterior orientation parameters (EO) by purely geodetic methods in terrestrial photogrammetry.
  • Calibration of zoom lenses and interpolation-based determination of camera models for photogrammetric accuracy assessment.
  • Investigation of aperture dependence in photogrammetric camera calibration using three-dimensional point fields and analysis of geometric accuracy.
  • Automation possibilities in remote sensing workflows.
  • Efficient determination of sensor lever-arm offsets for aerial triangulation.
  • Low-cost camera calibration procedures for aerial photogrammetric applications.

Some previous tasks:

  • Photogrammetric spatial resection without iteration.
  • Gross-error filtering for photogrammetric calculations before the equalization procedure.
  • Solution of spatial similarity transformation without iteration.
  • Development of a 3D archiving system for archaeological finds for museology.
  • Automated character recognition on medieval maps.
  • UAV camera calibration based on field test field.
  • Development of a camera quality control system.
  • Development of urban ecological studies based on complex data packages (space imagery, digital terrain models, aerial imagery, laser point clouds)
  • Laser scanning of trees and processing of the resulting point clouds
  • Development of open-source (QGIS) procedures for planning and mapping the preliminary ground resolution, perspective tilt and image overlaps of remotely sensed imagery.
  • Development of a lever-arm calculation algorithm for efficient and precise vector determination.
  • Development of a fast and efficient low-cost camera calibration procedure for aerial imaging cameras.
  • Combined processing of Sentinel-1A and Sentinel-1B data for co-eruptive/co-seismic movements and 3D/vertical deformations.

Keywords: photogrammetry, gross-error filtering, digital terrain modelling, 3D modelling, aerial triangulation, point cloud, adjustment calculations in photogrammetry, urban ecological studies with remote sensing methods, Lucky Imaging, selenography, georeferencing, exterior orientation (EO), zoom-lens calibration, interpolation-based camera model, aperture dependence, lever arm, low-cost calibration.

Participants

References

[1]     Meng Qingyan, Chen Xu, Sun Yunxiao, Zhang Jiahui, Wang Qiao, Jancsó Tamás, Liu Shunxi      
          Exposure opportunity index: measuring people-perceiving-greenery at floor-level effectively
          EARTH SCIENCE INFORMATICS 13 : 1 pp. 29-38. , 10 p. (2020)
[2]     Jancsó Tamás: Méretarányszámokkal végzett hibaszűrés modell- és terepi pontok koordinátái alapján (Error filtering with scale ratios based on the coordinates of model and field points), GEOMATIKAI                                      KÖZLEMÉNYEK  XX.  pp. 41-46. (2017)
[3]     Xiaojiang, Li ;  Weindong, Li ;  Quingyan, Meng ;  Chuanrong, Zhang ;  Tamas, Jancso  ;  Kangli, Wu: Modelling building proximity to greenery in a three-dimensional perspective using multi-source remotely sensed                  data , JOURNAL OF SPATIAL SCIENCE   , 16 p.  (2016), DOI: 10.1080/14498596.2015.1132642
[4]     Jancsó, T  ;  Závoti, J: Quality control of digital terrain models using different autocorrelation technics, EUROPEAN SPATIAL DATA RESEARCH  51  pp. 95-112. , 18 p.  (2006)
[5]     Zavoti, J  ;  Jancso, T: The solution of the 7-parameter datum transformation problem with- and without the Gröbner basis, ACTA GEODAETICA ET GEOPHYSICA HUNGARICA  41  pp. 87-100. , 14 p.  (2006),
          DOI: 10.1556/AGeod.41.2006.1.7
[6]     Balázsik, V. ✉ ; Tóth, Z.;  Abdurahmanov, I.: Analysis of Data Acquisition Accuracy with UAV, INTERNATIONAL JOURNAL OF GEOINFORMATICS 17 : 1 pp. 1-10. , 10 p. (2021)
[7]     Balázsik, V. Tóth, Z. DATA RESOLUTIONS USED IN THE URBAN GIS, PROBLEMS OF ARCHITECTURE AND CONSTRUCTION MC pp. 10-15. , 6 p. (2019)
[8]     Tóth, Z. Balázsik, V. Practical experience of applying GIS technology in archeology, JOURNAL OF GEOGRAPHICAL SOCIETY OF UZBEKISTAN 2018 p. 59 Paper: 1 (2018)
[9]     Balázsik Valéria: Domborzat- és felszínmodellek a GIS-ben (Terrain and surface models in GIS), In: Márkus, Béla (ed.) GIS 2014: 20 years of the Department of GIS, Székesfehérvár, Hungary: Óbuda University, Alba                  Regia Technical Faculty (2014) 400 p. pp. 7-19. , 13 p.
[10]   Gábor Nagy; Tamás Jancsó; Chongchen Chen: The Fitting Disc Method, a New Robust Algorithm of the Point Cloud Processing, ACTA POLYTECHNICA HUNGARICA (1785-8860 ): 14 6 pp 59-73 (2017)
[11]   Gábor Nagy: Parameter analysis of disc fitting method, In: AIS 2018 – 13th International Symposium on Applied Informatics and Related Areas, Székesfehérvár, 2018.11.08, Óbuda University, Alba Regia Technical                  Faculty, pp 90-93 (2018)
[12]   Nagy Gábor; Jie Zou; Jancsó Tamás; Chongcheng Chen: Modeling Tree Branches from Point Clouds by Sphere Fitting Method, In: IGIT 2015 International Conference: Integrated Geo-spatial Information Technology                and Its Application to Resource and Environmental Management Towards GEOSS, Székesfehérvár, 2015.01.16. – 2015.01.17., University of West Hungary Publisher, pp 147-152 (2015)
[13] G. László, G. Bor, G. Lucas and C. Lénárt, “Application development supporting orthophoto documentation,” in Óbuda University, International Symposium on Applied Informatics and Related Areas, 2021.
[14] G. László, G. P. Molnár, G. Bor and Z. Tóth, “Lever arm calculating algorithm for efficient and precise vector determinations,” Czech Journal of Civil Engineering, vol. 9, no. 1, pp. 35–41, 30 June 2023.
[15] G. László and L. Földváry, “Consistency test of surface deformation determination using Sentinel-1A and Sentinel-1B images for the 2018 Oaxaca earthquake,” in AIS 2018 – 13th International Symposium on Applied Informatics and Related Areas, Székesfehérvár, 2018.
[16] G. László and L. Földváry, “Determination of 3D surface deformation for the 2018 Oaxaca earthquake using InSAR,” in Selected Papers of the 5th International Conference on Research, Technology and Education of Space (H-SPACE 2019), 2019.
[17] G. László and Z. Tóth, “Usage of InSAR technology in surface deformations caused by deep mining,” ACTA POLYTECHNICA HUNGARICA 22 : 8 pp. 31–45., 15 p. (2025)
[18] Jancsó Tamás: Durva hibák felderítése a modell- és terepi koordináták alapján számított méretarányszámok összehasonlításával (Detection of gross errors by comparing scale factors calculated from model and field coordinates), GEODÉZIA ÉS KARTOGRÁFIA 58 : 3 pp. 9–11., 3 p. (2006)
[19] Jancsó Tamás: Durvahiba-szűrés a fotogrammetriai hátrametszés kiegyenlítése előtt kezdő értékek megadása nélkül (Gross-error filtering before adjustment of photogrammetric spatial resection without initial values), GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS 7 pp. 181–195., 15 p. (2004)
[20] Jancsó Tamás: Durva hibák szűrése térbeli hasonlósági transzformációnál (Gross-error filtering in spatial similarity transformation), GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS 12 pp. 27–33., 7 p. (2009)
[21] Jancsó Tamás: Error detection methods in photogrammetry, In: Csuka, I.; Simon, G. (eds.): AIS 2021 – 16th International Symposium on Applied Informatics and Related Areas: Proceedings, Székesfehérvár, Óbuda University, pp. 35–38., 4 p. (2021)
[22] Jancsó Tamás: General algorithm for gross error filtering utilizing weighted arithmetic mean value preceding least square adjustment, ACTA POLYTECHNICA HUNGARICA 22 : 8 pp. 179–201., 23 p. (2025), DOI: 10.12700/APH.22.8.2025.8.11
[23] Jancsó Tamás: Gross error detection of control points with direct analytical method, In: Geo-Imagery Bridging Continents: Proceedings of the XXth ISPRS Congress, International Society for Photogrammetry and Remote Sensing, pp. 678–682., 5 p. (2004)

Tender activity

  • RADI, Development of urban eco-environmental GIS data acquisition and analysis model with remote sensing methods, 2014-2015, NDA TéT, supervisor
  • IGIT, Integrated geo-spatial information technology and its application to resource and environmental management towards the GEOSS, 2011-2015 European Union project, supervisor, project coordinator
  • SROP-4.2.2.C-11/1 / KONV-2012-0015, Scientific processing of Earth system data and socialization of knowledge with the help of modern IT tools, 2012-2014, faculty coordinator
  • SROP 4. 2. 2. B – 10/1 – 2010 – 0018, TALENTUM – Development of a complex system of student talent care at the University of West Hungary, 2011-2013, faculty coordinator
  • NTP-OKA-VIII-A-029, “Supporting the participation of higher education students with outstanding talent in international competitions and domestic and international conferences” – OTDK participation, 2011, National Talent Program, supervisor
  • ATLAS – Application of the terrestrial laser scanning for environmental processes and changes, Erasmus Intensive Program in Hungary, 2010-2011, Erasmus program, supervisor
  • SROP 4.2.1 / B-09/1 / KONV-2010-0006, Development of intellectual, organizational and R&D infrastructure at the University of West Hungary 2010-2013, faculty coordinator
  • SROP 4.2.3.-08 / 2009-0001 Recognition and dissemination of scientific results, 2010-2011, faculty coordinator
  • TÁMOP-4.2.1-08 / 1-2008-0008, eCompetence Development of a Multidisciplinary University Knowledge Management System and Organizational Developments Establishing a Regional Innovation Framework at the University of West Hungary, 2009-2011, Faculty Coordinator
  • IRSA, Extraction and evaluation of GIS products in urban ecological environment, 2009-2010, TéT, supervisor
  • SIRC, Landscape Ecological Monitoring, Change Forecasting and Information System in the Wuyishan Nature Reserve, 2009-2010, TéT, participation
  • Game management and biodiversity monitoring Game management and biodiversity monitoring with remote sensing and application of open geographic information standards (OGC), 2007-2008, TéT, participation
  • IRSEL (Innovation on Remote Sensing Education and Learning), EU ERASMUS + project 2017.10.15- 2020.10. 14., Development of an innovative education platform for Asian countries to make widespread use of remote sensing
  • DSinGIS (Doctoral Studies in GeoInformation Sciences), EU ERASMUS + project 2017. 10.15. -2020.10. 14. Supporting the sustainable development of Uzbekistan, establishing a new doctoral program, developing innovative doctoral courses and methodologies, and supporting further training in geoinformatics.

Cooperating partners

University of Sopron, Hungary
Lechner Knowledge Center, Hungary
GeoIQ Ltd., Hungary
Envirosense Hungary Ltd.
GIP, Dr. Kruck & Co., Aalen, Germany
Earth Observation Application System Engineering Laboratory, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
Demonstration Center for Spaceborne Remote Sensing, China National Space Administration, Beijing
Paris Lodron University of Salzburg (PLUS), Austria
Tashkent Institute of Irrigation and Melioration (TIIAME) Tashkent, Uzbekistan
Karakalpak State University named after Berdakh (KSU) Nukus, Uzbekistan

This page was updated on: 2026.10.07.