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

Harita Mühendisliği Bölümü

Istanbul Technical University
Gumushane University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

6 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, Türkiye Süre: 11 Haz 2019 → 14 Haz 2019

Yayın serisi

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

???event.eventtypes.event.conference???

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

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Finansman

This research was funded by the Young Scientists Award Program of Turkish Academy of Sciences [TUBA–GEBIP], Istanbul Technical University Department of Scientific Research Projects (ITU–BAP) for supportingproject[MGA-2017-40936].

Finansörler	Finansör numarası
Istanbul Technical University Department of Scientific Research Projects
TUBA
International Technological University	MGA-2017-40936
Türkiye Bilimler Akademisi

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 11 Sürdürülebilir Şehirler ve Topluluklar

Belgeye Erişim

10.1109/RAST.2019.8767781

Diğer Dosyalar ve Linkler

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",

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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, Türkiye, 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 çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

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.

KW - LCLU maps

KW - object based classification

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T3 - Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

SP - 407

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

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A2 - Cetin, O.

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap