Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi

Umit Kacar; Deniz Kumlu; Murvet Kirci

doi:10.1109/SIU.2015.7130299

Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi

Translated title of the contribution: A Novel approach for automatic ship type classification

Umit Kacar, Deniz Kumlu, Murvet Kirci

Department of Electronics and Communication Engineering

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

2 Citations (Scopus)

Abstract

This work classifies the ship types from color images by using cameras mounted on ships. Our data set contains 10 different ship types. The synthetic images used for training imported from Google 3D Warehouse. Test data set imported from Google Images and contains real ship images. This work aims to classify real ship images by using synthetic images. We present a novel approach for combining four features extracted from synthetic images and we have achieved % 90 accuracy.

Translated title of the contribution	A Novel approach for automatic ship type classification
Original language	Turkish
Title of host publication	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2153-2156
Number of pages	4
ISBN (Electronic)	9781467373869
DOIs	https://doi.org/10.1109/SIU.2015.7130299
Publication status	Published - 19 Jun 2015
Event	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015

Publication series

Name	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/Territory	Turkey
City	Malatya
Period	16/05/15 → 19/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/SIU.2015.7130299

Cite this

Kacar, U., Kumlu, D., & Kirci, M. (2015). Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 2153-2156). Article 7130299 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130299

Kacar, Umit ; Kumlu, Deniz ; Kirci, Murvet. / Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2153-2156 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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title = "{\"O}zg{\"u}n Bir Yakla{\c s}im Ile Otomatik Gemi Tipi Siniflandirmasi",

abstract = "This work classifies the ship types from color images by using cameras mounted on ships. Our data set contains 10 different ship types. The synthetic images used for training imported from Google 3D Warehouse. Test data set imported from Google Images and contains real ship images. This work aims to classify real ship images by using synthetic images. We present a novel approach for combining four features extracted from synthetic images and we have achieved % 90 accuracy.",

keywords = "Feature combining, Feature extraction, Object recognition, Ship type classification",

author = "Umit Kacar and Deniz Kumlu and Murvet Kirci",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/SIU.2015.7130299",

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series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

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Kacar, U, Kumlu, D & Kirci, M 2015, Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130299, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2153-2156, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16/05/15. https://doi.org/10.1109/SIU.2015.7130299

Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi. / Kacar, Umit; Kumlu, Deniz; Kirci, Murvet.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2153-2156 7130299 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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

TY - GEN

T1 - Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi

AU - Kacar, Umit

AU - Kumlu, Deniz

AU - Kirci, Murvet

PY - 2015/6/19

Y1 - 2015/6/19

N2 - This work classifies the ship types from color images by using cameras mounted on ships. Our data set contains 10 different ship types. The synthetic images used for training imported from Google 3D Warehouse. Test data set imported from Google Images and contains real ship images. This work aims to classify real ship images by using synthetic images. We present a novel approach for combining four features extracted from synthetic images and we have achieved % 90 accuracy.

AB - This work classifies the ship types from color images by using cameras mounted on ships. Our data set contains 10 different ship types. The synthetic images used for training imported from Google 3D Warehouse. Test data set imported from Google Images and contains real ship images. This work aims to classify real ship images by using synthetic images. We present a novel approach for combining four features extracted from synthetic images and we have achieved % 90 accuracy.

KW - Feature combining

KW - Feature extraction

KW - Object recognition

KW - Ship type classification

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U2 - 10.1109/SIU.2015.7130299

DO - 10.1109/SIU.2015.7130299

M3 - Konferans katkısı

AN - SCOPUS:84939199591

T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

SP - 2153

EP - 2156

BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015

Y2 - 16 May 2015 through 19 May 2015

ER -

Kacar U, Kumlu D, Kirci M. Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2153-2156. 7130299. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130299

Özgün Bir Yaklaşim Ile Otomatik Gemi Tipi Siniflandirmasi

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