Learning spatial filters for multispectral image segmentation

Devis Tuia; Gustavo Camps-Valls; Remi Flamary; Alain Rakotomamonjy

doi:10.1109/MLSP.2010.5589202

Learning spatial filters for multispectral image segmentation

Devis Tuia
, Gustavo Camps-Valls
, Remi Flamary
, Alain Rakotomamonjy

University of Valencia
Normandie Université

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.

langue originale	Anglais
titre	Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010
Pages	41-46
Nombre de pages	6
Les DOIs	https://doi.org/10.1109/MLSP.2010.5589202
état	Publié - 24 nov. 2010
Modification externe	Oui
Evénement	2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010 - Kittila, Finlande Durée: 29 août 2010 → 1 sept. 2010

Série de publications

Nom	Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

Une conférence

Une conférence	2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010
Pays/Territoire	Finlande
La ville	Kittila
période	29/08/10 → 1/09/10

Accès au document

10.1109/MLSP.2010.5589202

Contient cette citation

Tuia, D., Camps-Valls, G., Flamary, R., & Rakotomamonjy, A. (2010). Learning spatial filters for multispectral image segmentation. Dans Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010 (p. 41-46). Article 5589202 (Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010). https://doi.org/10.1109/MLSP.2010.5589202

@inproceedings{dc32ac3f1572406a8353201e8f586bb1,

title = "Learning spatial filters for multispectral image segmentation",

abstract = "We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.",

author = "Devis Tuia and Gustavo Camps-Valls and Remi Flamary and Alain Rakotomamonjy",

year = "2010",

month = nov,

day = "24",

doi = "10.1109/MLSP.2010.5589202",

language = "English",

isbn = "9781424478774",

series = "Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010",

pages = "41--46",

booktitle = "Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010",

note = "2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010 ; Conference date: 29-08-2010 Through 01-09-2010",

}

Tuia, D, Camps-Valls, G, Flamary, R & Rakotomamonjy, A 2010, Learning spatial filters for multispectral image segmentation. Dans Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010., 5589202, Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010, p. 41-46, 2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010, Kittila, Finlande, 29/08/10. https://doi.org/10.1109/MLSP.2010.5589202

Learning spatial filters for multispectral image segmentation. / Tuia, Devis; Camps-Valls, Gustavo; Flamary, Remi et al.
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010. 2010. p. 41-46 5589202 (Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Learning spatial filters for multispectral image segmentation

AU - Tuia, Devis

AU - Camps-Valls, Gustavo

AU - Flamary, Remi

AU - Rakotomamonjy, Alain

PY - 2010/11/24

Y1 - 2010/11/24

N2 - We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.

AB - We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.

U2 - 10.1109/MLSP.2010.5589202

DO - 10.1109/MLSP.2010.5589202

M3 - Conference contribution

AN - SCOPUS:78449295478

SN - 9781424478774

T3 - Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

SP - 41

EP - 46

BT - Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

T2 - 2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010

Y2 - 29 August 2010 through 1 September 2010

ER -

Tuia D, Camps-Valls G, Flamary R, Rakotomamonjy A. Learning spatial filters for multispectral image segmentation. Dans Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010. 2010. p. 41-46. 5589202. (Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010). doi: 10.1109/MLSP.2010.5589202

Learning spatial filters for multispectral image segmentation

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation