| dc.contributor.author | Kazakevičiūtė-Januškevičienė, Girūta | |
| dc.contributor.author | Janušonis, Edgaras | |
| dc.contributor.author | Baušys, Romualdas | |
| dc.date.accessioned | 2023-09-18T20:44:33Z | |
| dc.date.available | 2023-09-18T20:44:33Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 9781665449281 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/152246 | |
| dc.description.abstract | The evaluation of remote sensing imagery segmentation results plays an important role in further image analysis and decision-making. The search for the optimal segmentation method for a particular data set and the suitability of segmentation results for the use in satellite image classification are examples where the proper image segmentation quality assessment can affect the quality of the final result. There is no extensive research related to the assessment of the segmentation effectiveness of the images. The designed objective quality assessment metrics that can be used to assess the quality of the obtained segmentation results usually consider the subjective features of the human visual system (HVS). A novel approach is used in the article to estimate the effectiveness of satellite image segmentation by relating and determining the correlation between subjective and objective segmentation quality metrics. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-7 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | IEEE Xplore | |
| dc.relation.isreferencedby | Scopus | |
| dc.rights | Prieinamas tik institucijos(-ų) intranete | |
| dc.source.uri | https://ieeexplore.ieee.org/document/9431459 | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:96637203/datastreams/MAIN/content | |
| dc.title | Evaluation of the segmentation of remote sensing images | |
| dc.type | Straipsnis konferencijos darbų leidinyje Scopus DB / Paper in conference publication in Scopus DB | |
| dcterms.references | 27 | |
| dc.type.pubtype | P1b - Straipsnis konferencijos darbų leidinyje Scopus DB / Article in conference proceedings Scopus DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | IK0202 - Išmaniosios signalų apdorojimo ir ryšių technologijos / Smart Signal Processing and Telecommunication Technologies | |
| dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
| dc.subject.en | satellite image segmentation | |
| dc.subject.en | segmentation quality assessment | |
| dc.subject.en | correlation analysis | |
| dc.subject.en | objective quality metrics | |
| dc.subject.en | subjective evaluation | |
| dcterms.sourcetitle | 2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 22 April 2021, Vilnius, Lithuania | |
| dc.identifier.eissn | 2690-8506 | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | Piscataway, NJ | |
| dcterms.organiser | Vilnius Gediminas Technical University | |
| dc.identifier.doi | 10.1109/eStream53087.2021.9431459 | |
| dc.identifier.elaba | 96637203 | |
