Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi

Bans Besol; Ugur Alganci; Elif Sertel

doi:10.1109/SIU.2017.7960700

Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi

Bans Besol^*, Ugur Alganci, Elif Sertel

^*Bu çalışma için yazışmadan sorumlu yazar

Geomatik Mühendisliği Bölümü

Istanbul Technical University

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

1 Atıf (Scopus)

Özet

Satellite technologies are used in various disciplines with the improvements in resolutions of sensors. Although spatial resolution of remotely sensed images has increased, automatic information extraction from these images could not reach the desired accuracy. Different studies have been conducted for eliminating the automatic information extraction errors and producing highly accurate spatial information from these images. In this study, building detection analysis was performed with object oriented classification of high resolution satellite images. Results of the object based classification were compared with the integration of normalized digital surface model (nDSM) and NDVI to the object based classification and the effects of these additional data on the classification accuracy were evaluated.

Tercüme edilen katkı başlığı	The use of object based classification with nDSM to increase the accuracy of building detection
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960700
Yayın durumu	Yayınlandı - 27 Haz 2017
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Turkey
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

building detection
DSM
nDSM
NDVI
object based classification

Belgeye Erişim

10.1109/SIU.2017.7960700

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Besol, B., Alganci, U., & Sertel, E. (2017). Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Makale 7960700 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960700

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abstract = "Satellite technologies are used in various disciplines with the improvements in resolutions of sensors. Although spatial resolution of remotely sensed images has increased, automatic information extraction from these images could not reach the desired accuracy. Different studies have been conducted for eliminating the automatic information extraction errors and producing highly accurate spatial information from these images. In this study, building detection analysis was performed with object oriented classification of high resolution satellite images. Results of the object based classification were compared with the integration of normalized digital surface model (nDSM) and NDVI to the object based classification and the effects of these additional data on the classification accuracy were evaluated.",

keywords = "building detection, DSM, nDSM, NDVI, object based classification",

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Besol, B, Alganci, U & Sertel, E 2017, Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960700, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15/05/17. https://doi.org/10.1109/SIU.2017.7960700

Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi. / Besol, Bans; Alganci, Ugur ; Sertel, Elif.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960700 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

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

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PY - 2017/6/27

Y1 - 2017/6/27

N2 - Satellite technologies are used in various disciplines with the improvements in resolutions of sensors. Although spatial resolution of remotely sensed images has increased, automatic information extraction from these images could not reach the desired accuracy. Different studies have been conducted for eliminating the automatic information extraction errors and producing highly accurate spatial information from these images. In this study, building detection analysis was performed with object oriented classification of high resolution satellite images. Results of the object based classification were compared with the integration of normalized digital surface model (nDSM) and NDVI to the object based classification and the effects of these additional data on the classification accuracy were evaluated.

AB - Satellite technologies are used in various disciplines with the improvements in resolutions of sensors. Although spatial resolution of remotely sensed images has increased, automatic information extraction from these images could not reach the desired accuracy. Different studies have been conducted for eliminating the automatic information extraction errors and producing highly accurate spatial information from these images. In this study, building detection analysis was performed with object oriented classification of high resolution satellite images. Results of the object based classification were compared with the integration of normalized digital surface model (nDSM) and NDVI to the object based classification and the effects of these additional data on the classification accuracy were evaluated.

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KW - DSM

KW - nDSM

KW - NDVI

KW - object based classification

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M3 - Konferans katkısı

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ER -

Besol B, Alganci U , Sertel E. Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7960700. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). doi: 10.1109/SIU.2017.7960700

Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap