Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi

Onur Haliloʇlu; Ufuk Sakarya; Behçet Uʇur Töreyin

doi:10.1109/SIU.2015.7130391

Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi

Onur Haliloʇlu
, Ufuk Sakarya
, Behçet Uʇur Töreyin

MS SPEKTRAL Electro-Optics and Imaging Systems
Scientific and Technological Research Council of Turkey
Cankaya University

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

Özet

Hyperspectral images have huge data volume that contains spectral and spatial information. This high data volume leads to processing, storage, and transmission problems. Moreover, insufficient training data results in Hughes phenomenon. It is possible to solve these problems with the help of feature selection. In this paper, a method that evaluates the clustering performance of spectral bands is proposed as a pre-processing operation in order to realize feature selection. This method is clustering each spectral band based on 'dominant sets' technique and it evaluates the clustering performance of each band. The proposed method is time efficient since it works on a small set of training data instead of the whole hyperspectral data. In this study, 'dominant sets' technique is first applied to hyperspectral image processing as a clustering method.

Tercüme edilen katkı başlığı	Evaluation of clustering performance of hyperspectral bands
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	2497-2500
Sayfa sayısı	4
ISBN (Elektronik)	9781467373869
DOI'lar	https://doi.org/10.1109/SIU.2015.7130391
Yayın durumu	Yayınlandı - 19 Haz 2015
Harici olarak yayınlandı	Evet
Etkinlik	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Türkiye Süre: 16 May 2015 → 19 May 2015

Yayın serisi

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

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

???event.eventtypes.event.conference???	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Ülke/Bölge	Türkiye
Şehir	Malatya
Periyot	16/05/15 → 19/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Keywords

Clustering
Dominant Sets
Hyperspectral Image Processing

Belgeye Erişim

10.1109/SIU.2015.7130391

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Haliloʇlu, O., Sakarya, U., & Töreyin, B. U. (2015). Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 2497-2500). Makale 7130391 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130391

Haliloʇlu, Onur ; Sakarya, Ufuk ; Töreyin, Behçet Uʇur. / Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2497-2500 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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title = "Hiperspektral Bantlarin K{\"u}meleme Performansinin Deʇerlendirilmesi",

abstract = "Hyperspectral images have huge data volume that contains spectral and spatial information. This high data volume leads to processing, storage, and transmission problems. Moreover, insufficient training data results in Hughes phenomenon. It is possible to solve these problems with the help of feature selection. In this paper, a method that evaluates the clustering performance of spectral bands is proposed as a pre-processing operation in order to realize feature selection. This method is clustering each spectral band based on 'dominant sets' technique and it evaluates the clustering performance of each band. The proposed method is time efficient since it works on a small set of training data instead of the whole hyperspectral data. In this study, 'dominant sets' technique is first applied to hyperspectral image processing as a clustering method.",

keywords = "Clustering, Dominant Sets, Hyperspectral Image Processing",

author = "Onur Haliloʇlu and Ufuk Sakarya and T{\"o}reyin, \{Beh{\c c}et Uʇur\}",

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.2015.7130391",

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

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Haliloʇlu, O, Sakarya, U & Töreyin, BU 2015, Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130391, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2497-2500, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 16/05/15. https://doi.org/10.1109/SIU.2015.7130391

Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi. / Haliloʇlu, Onur; Sakarya, Ufuk; Töreyin, Behçet Uʇur.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2497-2500 7130391 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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

TY - GEN

T1 - Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi

AU - Haliloʇlu, Onur

AU - Sakarya, Ufuk

AU - Töreyin, Behçet Uʇur

PY - 2015/6/19

Y1 - 2015/6/19

N2 - Hyperspectral images have huge data volume that contains spectral and spatial information. This high data volume leads to processing, storage, and transmission problems. Moreover, insufficient training data results in Hughes phenomenon. It is possible to solve these problems with the help of feature selection. In this paper, a method that evaluates the clustering performance of spectral bands is proposed as a pre-processing operation in order to realize feature selection. This method is clustering each spectral band based on 'dominant sets' technique and it evaluates the clustering performance of each band. The proposed method is time efficient since it works on a small set of training data instead of the whole hyperspectral data. In this study, 'dominant sets' technique is first applied to hyperspectral image processing as a clustering method.

AB - Hyperspectral images have huge data volume that contains spectral and spatial information. This high data volume leads to processing, storage, and transmission problems. Moreover, insufficient training data results in Hughes phenomenon. It is possible to solve these problems with the help of feature selection. In this paper, a method that evaluates the clustering performance of spectral bands is proposed as a pre-processing operation in order to realize feature selection. This method is clustering each spectral band based on 'dominant sets' technique and it evaluates the clustering performance of each band. The proposed method is time efficient since it works on a small set of training data instead of the whole hyperspectral data. In this study, 'dominant sets' technique is first applied to hyperspectral image processing as a clustering method.

KW - Clustering

KW - Dominant Sets

KW - Hyperspectral Image Processing

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U2 - 10.1109/SIU.2015.7130391

DO - 10.1109/SIU.2015.7130391

M3 - Konferans katkısı

AN - SCOPUS:84939172314

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

SP - 2497

EP - 2500

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 -

Haliloʇlu O, Sakarya U, Töreyin BU. Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2497-2500. 7130391. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130391

Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap