Lossy compression of hyperspectral images using online learning based sparse coding

Irem Ülkü; B. Uʇur Töreyin

doi:10.1109/IWCIM.2014.7008809

Lossy compression of hyperspectral images using online learning based sparse coding

Irem Ülkü
, B. Uʇur Töreyin

Cankaya University

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

5 Atıf (Scopus)

Özet

A lossy hyperspectral image compression method is proposed using online learning based sparse coding. The least number of coefficients are obtained to represent hyperspectral images by applying the sparse coding algorithm which is based on a dicriminative online dictionary learning method. Results indicate that a pre-analysis of the number of non-zero dictionary elements may help in improving the overall compression quality.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781479979714
DOI'lar	https://doi.org/10.1109/IWCIM.2014.7008809
Yayın durumu	Yayınlandı - 13 Oca 2014
Harici olarak yayınlandı	Evet
Etkinlik	2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014 - Paris, France Süre: 1 Kas 2014 → 2 Kas 2014

Yayın serisi

Adı	2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014

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

???event.eventtypes.event.conference???	2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014
Ülke/Bölge	France
Şehir	Paris
Periyot	1/11/14 → 2/11/14

Bibliyografik not

Publisher Copyright:
© 2014 IEEE.

Belgeye Erişim

10.1109/IWCIM.2014.7008809

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ülkü, I., & Töreyin, B. U. (2014). Lossy compression of hyperspectral images using online learning based sparse coding. In 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014 Makale 7008809 (2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCIM.2014.7008809

Ülkü, Irem ; Töreyin, B. Uʇur. / Lossy compression of hyperspectral images using online learning based sparse coding. 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014).

@inproceedings{e8a75edbb4474fdf9f50d08d553072fe,

title = "Lossy compression of hyperspectral images using online learning based sparse coding",

abstract = "A lossy hyperspectral image compression method is proposed using online learning based sparse coding. The least number of coefficients are obtained to represent hyperspectral images by applying the sparse coding algorithm which is based on a dicriminative online dictionary learning method. Results indicate that a pre-analysis of the number of non-zero dictionary elements may help in improving the overall compression quality.",

keywords = "Anomaly Detection, Hyperspectral Imagery, Online Learning, Sparse Coding",

author = "Irem {\"U}lk{\"u} and T{\"o}reyin, \{B. Uʇur\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014 ; Conference date: 01-11-2014 Through 02-11-2014",

year = "2014",

month = jan,

day = "13",

doi = "10.1109/IWCIM.2014.7008809",

language = "English",

series = "2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014",

address = "United States",

}

Ülkü, I & Töreyin, BU 2014, Lossy compression of hyperspectral images using online learning based sparse coding. in 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014., 7008809, 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014, Institute of Electrical and Electronics Engineers Inc., 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014, Paris, France, 1/11/14. https://doi.org/10.1109/IWCIM.2014.7008809

Lossy compression of hyperspectral images using online learning based sparse coding. / Ülkü, Irem; Töreyin, B. Uʇur.
2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7008809 (2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014).

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

TY - GEN

T1 - Lossy compression of hyperspectral images using online learning based sparse coding

AU - Ülkü, Irem

AU - Töreyin, B. Uʇur

PY - 2014/1/13

Y1 - 2014/1/13

N2 - A lossy hyperspectral image compression method is proposed using online learning based sparse coding. The least number of coefficients are obtained to represent hyperspectral images by applying the sparse coding algorithm which is based on a dicriminative online dictionary learning method. Results indicate that a pre-analysis of the number of non-zero dictionary elements may help in improving the overall compression quality.

AB - A lossy hyperspectral image compression method is proposed using online learning based sparse coding. The least number of coefficients are obtained to represent hyperspectral images by applying the sparse coding algorithm which is based on a dicriminative online dictionary learning method. Results indicate that a pre-analysis of the number of non-zero dictionary elements may help in improving the overall compression quality.

KW - Anomaly Detection

KW - Hyperspectral Imagery

KW - Online Learning

KW - Sparse Coding

UR - https://www.scopus.com/pages/publications/84946691505

U2 - 10.1109/IWCIM.2014.7008809

DO - 10.1109/IWCIM.2014.7008809

M3 - Conference contribution

AN - SCOPUS:84946691505

T3 - 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014

BT - 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014

Y2 - 1 November 2014 through 2 November 2014

ER -

Ülkü I, Töreyin BU. Lossy compression of hyperspectral images using online learning based sparse coding. In 2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7008809. (2014 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2014). doi: 10.1109/IWCIM.2014.7008809

Lossy compression of hyperspectral images using online learning based sparse coding

Özet

Yayın serisi

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

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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