Efficiency assessments of GEOBIA in land cover analysis, NE Hungary

  • Orsolya Gy¨ongyi Varga
  • Szilárd Szabó
  • Zoltán Túri


Land cover features of landscapes can be analysed
thoroughly by different remotely sensed data. In our
research we examined the land use/land cover (LULC)
changes in three randomly selected areas located in
different microregions of the Great Hungarian Plain,
NE Hungary. We intended to observe the efficiency
of object-based image analysis compared to the pixelbased
method by applying them to archive aerial photos
and digital true colour orthophotos representing
the different landscape types (alluvial plain, terraced
and loess plain, sandy region with partly fixed dunes)
of the study area. We applied the bottom-up multiresolution
segmentation technique in eCognition and
classified the evolved segments based on visual interpretation.
We used supervised classification methods in
order to compare their efficiency with our results. Production
of land cover maps based on segmentation and
non-automated classification processes and accuracy
assessment results confirmed that the object-based approach
was more efficient (with a total accuracy value
of 97.2%) and even better than the maximumlikelihood
classification,which had the best performance (total accuracy:
62.8%) of all the supervised pixel-based methods

How to Cite
VARGA, Orsolya Gy¨ongyi; SZABÓ, Szilárd; TÚRI, Zoltán. Efficiency assessments of GEOBIA in land cover analysis, NE Hungary. Bulletin of Environmental and Scientific Research, [S.l.], v. 3, n. 4, p. 1-9, sep. 2014. ISSN 2278-5205. Available at: <http://besr.org.in/index.php/besr/article/view/54>. Date accessed: 25 feb. 2020.