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Pregled bibliografske jedinice broj: 990776

Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns


Kranjčić, Nikola; Medak, Damir; Župan, Robert; Rezo, Milan
Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns // Remote Sensing, 11 (2019), 6; 655, 13 doi:10.3390/rs11060655 (međunarodna recenzija, članak, znanstveni)


Naslov
Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns

Autori
Kranjčić, Nikola ; Medak, Damir ; Župan, Robert ; Rezo, Milan

Izvornik
Remote Sensing (2072-4292) 11 (2019), 6; 655, 13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
machine learning ; support vector machine ; kernels ; green urban areas extraction ; satellite images

Sažetak
The most commonly used model for analyzing satellite imagery is the Support Vector Machine (SVM). Since there are a large number of possible variables for use in SVM, this paper will provide a combination of parameters that fit best for extracting green urban areas from Copernicus mission satellite images. This paper aims to provide a combination of parameters to extract green urban areas with the highest degree of accuracy, in order to speed up urban planning and ultimately improve town environments. Two different towns in Croatia were investigated, and the results provide an optimal combination of parameters for green urban areas extraction with an overall kappa index of 0.87 and 0.89, which demonstrates a very high classification accuracy.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2016-06-5621 - Geoprostorno praćenje zelene infrastrukture na temelju terestričkih, zračnih i satelitskih snimaka (Damir Medak, )

Ustanove
Geodetski fakultet, Zagreb,
Geotehnički fakultet, Varaždin

Profili:

Avatar Url Damir Medak (autor)

Avatar Url Milan Rezo (autor)

Avatar Url Robert Župan (autor)

Citiraj ovu publikaciju

Kranjčić, Nikola; Medak, Damir; Župan, Robert; Rezo, Milan
Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns // Remote Sensing, 11 (2019), 6; 655, 13 doi:10.3390/rs11060655 (međunarodna recenzija, članak, znanstveni)
Kranjčić, N., Medak, D., Župan, R. & Rezo, M. (2019) Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns. Remote Sensing, 11 (6), 655, 13 doi:10.3390/rs11060655.
@article{article, year = {2019}, pages = {13}, DOI = {10.3390/rs11060655}, chapter = {655}, keywords = {machine learning, support vector machine, kernels, green urban areas extraction, satellite images}, journal = {Remote Sensing}, doi = {10.3390/rs11060655}, volume = {11}, number = {6}, issn = {2072-4292}, title = {Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns}, keyword = {machine learning, support vector machine, kernels, green urban areas extraction, satellite images}, chapternumber = {655} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • CAB Abstracts
  • GeoRef
  • INSPEC


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