Super resolution of multispectral images using TV image models

Miguel Vega; Javier Mateos; Rafael Molina; Aggelos K. Katsaggelos

doi:10.1007/978-3-540-85567-5_51

Super resolution of multispectral images using TV image models

Miguel Vega^*, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

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

10 Scopus citations

Abstract

In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral images. Using real and synthetic data, the pansharpened multispectral images are compared with the images obtained by other pansharpening methods and their quality is assessed both qualitatively and quantitatively.

Original language	English (US)
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
Publisher	Springer Verlag
Pages	408-415
Number of pages	8
Edition	PART 3
ISBN (Print)	3540855661, 9783540855668
DOIs	https://doi.org/10.1007/978-3-540-85567-5_51
State	Published - 2008
Event	12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia Duration: Sep 3 2008 → Sep 5 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	5179 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Country	Croatia
City	Zagreb
Period	9/3/08 → 9/5/08

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-85567-5_51

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Cite this

Vega, M., Mateos, J., Molina, R., & Katsaggelos, A. K. (2008). Super resolution of multispectral images using TV image models. In Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings (PART 3 ed., pp. 408-415). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5179 LNAI, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-540-85567-5_51

Vega, Miguel ; Mateos, Javier ; Molina, Rafael ; Katsaggelos, Aggelos K. / Super resolution of multispectral images using TV image models. Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3. ed. Springer Verlag, 2008. pp. 408-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Super resolution of multispectral images using TV image models",

abstract = "In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral images. Using real and synthetic data, the pansharpened multispectral images are compared with the images obtained by other pansharpening methods and their quality is assessed both qualitatively and quantitatively.",

author = "Miguel Vega and Javier Mateos and Rafael Molina and Katsaggelos, {Aggelos K.}",

note = "Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 ; Conference date: 03-09-2008 Through 05-09-2008",

year = "2008",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Vega, M, Mateos, J, Molina, R & Katsaggelos, AK 2008, Super resolution of multispectral images using TV image models. in Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5179 LNAI, Springer Verlag, pp. 408-415, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, Zagreb, Croatia, 9/3/08. https://doi.org/10.1007/978-3-540-85567-5_51

Super resolution of multispectral images using TV image models. / Vega, Miguel; Mateos, Javier; Molina, Rafael; Katsaggelos, Aggelos K.

Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3. ed. Springer Verlag, 2008. p. 408-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5179 LNAI, No. PART 3).

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

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AU - Molina, Rafael

AU - Katsaggelos, Aggelos K.

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AB - In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral images. Using real and synthetic data, the pansharpened multispectral images are compared with the images obtained by other pansharpening methods and their quality is assessed both qualitatively and quantitatively.

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SN - 9783540855668

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Vega M, Mateos J, Molina R, Katsaggelos AK. Super resolution of multispectral images using TV image models. In Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3 ed. Springer Verlag. 2008. p. 408-415. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-540-85567-5_51