Object-based classification of Izmir Metropolitan City by using sentinel-2 images

Elif Ozlem Yilmaz; Beril Varol; Raziye Hale Topaloglu; Elif Sertel

doi:10.1109/RAST.2019.8767781

Object-based classification of Izmir Metropolitan City by using sentinel-2 images

Elif Ozlem Yilmaz, Beril Varol, Raziye Hale Topaloglu, Elif Sertel

Geomatik Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

5 Atıf (Scopus)

Özet

This study aims to create Land Cover Land Use (LCLU)map of a part of the Izmir metropolitan city in Turkey, based on an enhanced Urban Atlas nomenclature and object based classification approach. Multi-temporal Sentinel-2 images from different seasons are used and rule-based object oriented classification techniques are applied on the images. Totally 20 LCLU classes are identified in the study area with different accuracy values. Thematic open source data were also integrated into classification to better identify some land use classes and to increase the total classification accuracy. Our results show that 10-m bands of Sentinel-2 images are capable to produce thematically detailed LCLU map with an overall accuracy of 86% and 0.852 Kappa values.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
Editörler	S. Menekay, O. Cetin, O. Alparslan
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	407-412
Sayfa sayısı	6
ISBN (Elektronik)	9781538694480
DOI'lar	https://doi.org/10.1109/RAST.2019.8767781
Yayın durumu	Yayınlandı - Haz 2019
Etkinlik	9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey Süre: 11 Haz 2019 → 14 Haz 2019

Yayın serisi

Adı	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

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???event.eventtypes.event.conference???	9th International Conference on Recent Advances in Space Technologies, RAST 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	11/06/19 → 14/06/19

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Publisher Copyright:
© 2019 IEEE.

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Belgeye Erişim

10.1109/RAST.2019.8767781

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Link to publication in Scopus

Alıntı Yap

Ozlem Yilmaz, E., Varol, B., Hale Topaloglu, R., & Sertel, E. (2019). Object-based classification of Izmir Metropolitan City by using sentinel-2 images. In S. Menekay, O. Cetin, & O. Alparslan (Eds.), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 (pp. 407-412). Makale 8767781 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2019.8767781

Ozlem Yilmaz, Elif ; Varol, Beril ; Hale Topaloglu, Raziye et al. / Object-based classification of Izmir Metropolitan City by using sentinel-2 images. Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. editör / S. Menekay ; O. Cetin ; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 407-412 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

@inproceedings{baff407b7ed3466eb0bc8eda35846876,

title = "Object-based classification of Izmir Metropolitan City by using sentinel-2 images",

abstract = "This study aims to create Land Cover Land Use (LCLU)map of a part of the Izmir metropolitan city in Turkey, based on an enhanced Urban Atlas nomenclature and object based classification approach. Multi-temporal Sentinel-2 images from different seasons are used and rule-based object oriented classification techniques are applied on the images. Totally 20 LCLU classes are identified in the study area with different accuracy values. Thematic open source data were also integrated into classification to better identify some land use classes and to increase the total classification accuracy. Our results show that 10-m bands of Sentinel-2 images are capable to produce thematically detailed LCLU map with an overall accuracy of 86% and 0.852 Kappa values.",

keywords = "LCLU maps, object based classification, Sentinel-2, Urban Atlas",

author = "{Ozlem Yilmaz}, Elif and Beril Varol and {Hale Topaloglu}, Raziye and Elif Sertel",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International Conference on Recent Advances in Space Technologies, RAST 2019 ; Conference date: 11-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/RAST.2019.8767781",

language = "English",

series = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "407--412",

editor = "S. Menekay and O. Cetin and O. Alparslan",

booktitle = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",

address = "United States",

}

Ozlem Yilmaz, E, Varol, B, Hale Topaloglu, R & Sertel, E 2019, Object-based classification of Izmir Metropolitan City by using sentinel-2 images. in S Menekay, O Cetin & O Alparslan (eds), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019., 8767781, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Institute of Electrical and Electronics Engineers Inc., pp. 407-412, 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Istanbul, Turkey, 11/06/19. https://doi.org/10.1109/RAST.2019.8767781

Object-based classification of Izmir Metropolitan City by using sentinel-2 images. / Ozlem Yilmaz, Elif; Varol, Beril; Hale Topaloglu, Raziye et al.
Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. ed. / S. Menekay; O. Cetin; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. p. 407-412 8767781 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Object-based classification of Izmir Metropolitan City by using sentinel-2 images

AU - Ozlem Yilmaz, Elif

AU - Varol, Beril

AU - Hale Topaloglu, Raziye

AU - Sertel, Elif

PY - 2019/6

Y1 - 2019/6

N2 - This study aims to create Land Cover Land Use (LCLU)map of a part of the Izmir metropolitan city in Turkey, based on an enhanced Urban Atlas nomenclature and object based classification approach. Multi-temporal Sentinel-2 images from different seasons are used and rule-based object oriented classification techniques are applied on the images. Totally 20 LCLU classes are identified in the study area with different accuracy values. Thematic open source data were also integrated into classification to better identify some land use classes and to increase the total classification accuracy. Our results show that 10-m bands of Sentinel-2 images are capable to produce thematically detailed LCLU map with an overall accuracy of 86% and 0.852 Kappa values.

AB - This study aims to create Land Cover Land Use (LCLU)map of a part of the Izmir metropolitan city in Turkey, based on an enhanced Urban Atlas nomenclature and object based classification approach. Multi-temporal Sentinel-2 images from different seasons are used and rule-based object oriented classification techniques are applied on the images. Totally 20 LCLU classes are identified in the study area with different accuracy values. Thematic open source data were also integrated into classification to better identify some land use classes and to increase the total classification accuracy. Our results show that 10-m bands of Sentinel-2 images are capable to produce thematically detailed LCLU map with an overall accuracy of 86% and 0.852 Kappa values.

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KW - object based classification

KW - Sentinel-2

KW - Urban Atlas

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Ozlem Yilmaz E, Varol B, Hale Topaloglu R, Sertel E. Object-based classification of Izmir Metropolitan City by using sentinel-2 images. In Menekay S, Cetin O, Alparslan O, editörler, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 407-412. 8767781. (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). doi: 10.1109/RAST.2019.8767781

Object-based classification of Izmir Metropolitan City by using sentinel-2 images

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