DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION

AVDAN, Uğur; MATCI, Dilek KÜÇÜK; ÇÖMERT, Resul

doi:10.20290/aubtdb.490007

DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION

Resul ÇÖMERT, (Gümüşhane Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Geomatik Mühendisliği Bölümü, Gümüşhane, Türkiye)

Dilek KÜÇÜK MATCI, (Eskişehir Teknik Üniversitesi, Yer ve Uzay Bilimleri Enstitüsü, Eskişehir, Türkiye)

Uğur AVDAN (Eskişehir Teknik Üniversitesi, Yer ve Uzay Bilimleri Enstitüsü, Eskişehir, Türkiye)

Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler

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Yıl: 2018 Cilt: 6 Sayı: Özel Sayı Sayfa Aralığı: 109 - 116 Metin Dili: Türkçe DOI: 10.20290/aubtdb.490007 İndeks Tarihi: 06-01-2021

DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION

Öz:

Buildings are most affected the objects by earthquake disaster. Detection of collapsed buildings after an earthquake isimportant both for determining the current situation and quick response. Unmanned aerial vehicles that have evolved inrecent years, can provide very high resolution images of the earth surface using camera systems attached to them.Information for the intended purpose can be obtained through the products produced from these images.In this study, collapsed buildings were detected in the area where high-resolution images were obtained whit unmanned aerialvehicle in 2015 and 2014. Building detection process was made based on a scenario events. In this context, 2015 images weretaken before the earthquake and 2014 images were taken after the earthquake. The images of both years were processedseparately to produce the digital elevation model and orthophoto image of the study area. building of the study area wereobtained by applying the object-based classification process to the generated data. 11 buildings which were available in thearea in 2015 and not available in the area in 2014, were detected successfully comparison of building classes of two years.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

[1] Sumer E and Turker M. Building damage detection from post-earthquake aerial images using watershed segmentation in Golcuk, Turkey. International Society for Photogrammetry and Remote Sensing ISPRS, 2004: p. 642-647.
[2] Jiang N, et al., Object-oriented buinding extraction by DSM and very high-resolution orthoimages. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008. 37: p. 441-446.
[3] Yano Y, et al. Building damage detection of the 2003 Bam, Iran earthquake using QuickBird images. in Proceedings of the 25th Asian Conference on Remote Sensing. 2004. Citeseer.
[4] Safarlou F, Change Detectıon of Buildings from High Resolution Satellite Imagery And Existing Map Data Using Object Based Classification. 2015.
[5] Teo T-A and L.-C. Chen. Object-based building detection from LiDAR data and high resolution satellite imagery. in Proceedings of the 25th Asian Conference on Remote Sensing. 2004.
[6] Rutzinger M, et al. Object-based building detection based on airborne laser scanning data within GRASS GIS environment. in Proceedings of UDMS. 2006.
[7] Miliaresis G and N. Kokkas, Segmentation and object-based classification for the extraction of the building class from LIDAR DEMs. Computers & Geosciences, 2007. 33(8): p. 1076-1087.
[8] Hunt ER, et al., Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring. Remote Sensing, 2010. 2(1): p. 290-305.
[9] Woebbecke DM, et al., Color indices for weed identification under various soil, residue, and lighting conditions. Transactions of the ASAE, 1995. 38(1): p. 259-269.
[10] Hunt Jr ER, et al., A visible band index for remote sensing leaf chlorophyll content at the canopy scale. International Journal of Applied Earth Observation and Geoinformation, 2013. 21: p. 103- 112.
[11] Baatz M, et al., eCognition user guide. Definiens Imaging GmbH, Munich, Germany, 2004.
[12] Tucker CJ, Red and photographic infrared linear combinations for monitoring vegetation. Remote sensing of Environment, 1979. 8(2): p. 127-150.
[13] Gitelson AA, et al., Novel algorithms for remote estimation of vegetation fraction. Remote sensing of Environment, 2002. 80(1): p. 76-87.
[14] Mao W, Wang Y and WangY. Real-time detection of between-row weeds using machine vision. in 2003 ASAE Annual Meeting, 2003. American Society of Agricultural and Biological Engineers.

APA	ÇÖMERT R, MATCI D, AVDAN U (2018). DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. , 109 - 116. 10.20290/aubtdb.490007
Chicago	ÇÖMERT Resul,MATCI Dilek KÜÇÜK,AVDAN Uğur DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. (2018): 109 - 116. 10.20290/aubtdb.490007
MLA	ÇÖMERT Resul,MATCI Dilek KÜÇÜK,AVDAN Uğur DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. , 2018, ss.109 - 116. 10.20290/aubtdb.490007
AMA	ÇÖMERT R,MATCI D,AVDAN U DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. . 2018; 109 - 116. 10.20290/aubtdb.490007
Vancouver	ÇÖMERT R,MATCI D,AVDAN U DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. . 2018; 109 - 116. 10.20290/aubtdb.490007
IEEE	ÇÖMERT R,MATCI D,AVDAN U "DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION." , ss.109 - 116, 2018. 10.20290/aubtdb.490007
ISNAD	ÇÖMERT, Resul vd. "DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION". (2018), 109-116. https://doi.org/10.20290/aubtdb.490007

APA	ÇÖMERT R, MATCI D, AVDAN U (2018). DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler, 6(Özel Sayı), 109 - 116. 10.20290/aubtdb.490007
Chicago	ÇÖMERT Resul,MATCI Dilek KÜÇÜK,AVDAN Uğur DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler 6, no.Özel Sayı (2018): 109 - 116. 10.20290/aubtdb.490007
MLA	ÇÖMERT Resul,MATCI Dilek KÜÇÜK,AVDAN Uğur DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler, vol.6, no.Özel Sayı, 2018, ss.109 - 116. 10.20290/aubtdb.490007
AMA	ÇÖMERT R,MATCI D,AVDAN U DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler. 2018; 6(Özel Sayı): 109 - 116. 10.20290/aubtdb.490007
Vancouver	ÇÖMERT R,MATCI D,AVDAN U DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler. 2018; 6(Özel Sayı): 109 - 116. 10.20290/aubtdb.490007
IEEE	ÇÖMERT R,MATCI D,AVDAN U "DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION." Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler, 6, ss.109 - 116, 2018. 10.20290/aubtdb.490007
ISNAD	ÇÖMERT, Resul vd. "DETECTION OF COLLAPSED BUILDING FROM UNMANNED AERIAL VEHICLE DATA WITH OBJECT BASED IMAGE CLASSIFICATION". Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler 6/Özel Sayı (2018), 109-116. https://doi.org/10.20290/aubtdb.490007