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

Translated title of the contribution: The use of object based classification with nDSM to increase the accuracy of building detection

Bans Besol^*, Ugur Alganci, Elif Sertel

^*Corresponding author for this work

Department of Geomatics Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Translated title of the contribution	The use of object based classification with nDSM to increase the accuracy of building detection
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960700
Publication status	Published - 27 Jun 2017
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

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

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Access to Document

10.1109/SIU.2017.7960700

Cite this

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 Article 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",

author = "Bans Besol and Ugur Alganci and Elif Sertel",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Nesne Tabanli Siniflandirma ile Bina Tespit Doǧruluǧunun nSYM ile artirilmasi

AU - Besol, Bans

AU - Alganci, Ugur

AU - Sertel, Elif

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.

KW - building detection

KW - DSM

KW - nDSM

KW - NDVI

KW - object based classification

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U2 - 10.1109/SIU.2017.7960700

DO - 10.1109/SIU.2017.7960700

M3 - Konferans katkısı

AN - SCOPUS:85026312925

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

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

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