Field sampling from a segmented image

P. Debba; A. Stein; F.D. van der Meer; E.J.M Carranza; A. Lucieer

doi:10.1007/978-3-540-69839-5_55

Field sampling from a segmented image

P. Debba, A. Stein, F.D. van der Meer, E.J.M Carranza, A. Lucieer

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

3 Citations (Scopus)

5 Downloads (Pure)

Abstract

This paper presents a statistical method for deriving the optimal prospective field sampling scheme on a remote sensing image to represent different categories in the field. The iterated conditional modes algorithm (ICM) is used for segmentation followed by simulated annealing within each category. Derived field sampling points are more intense in heterogenous segments. This method is applied to airborne hyperspectral data from an agricultural field. The optimized sampling scheme shows superiority to simple random sampling and rectangular grid sampling in estimating common vegetation indices and is thus more representative of the whole study area.

Original language	English
Title of host publication	Computational Science and Its Applications - ICCSA 2008
Subtitle of host publication	International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part I
Editors	Osvaldo Gervasi, Beniamino Murgante, Antonio Laganà, David Taniar, Youngsong Mun, Marina L. Gavrilova
Place of Publication	Perugia, Italy
Publisher	Springer
Pages	756-768
ISBN (Electronic)	978-3-540-69839-5
ISBN (Print)	978-3-540-69838-8
DOIs	https://doi.org/10.1007/978-3-540-69839-5_55
Publication status	Published - 2008

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	5072
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

ADLIB-ART-278
EOS
ESA
2024 OA procedure

Access to Document

10.1007/978-3-540-69839-5_55

ArticleFinal published version, 1.4 MBLicence: Taverne

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Debba, P., Stein, A., van der Meer, F. D., Carranza, E. J. M., & Lucieer, A. (2008). Field sampling from a segmented image. In O. Gervasi, B. Murgante, A. Laganà, D. Taniar, Y. Mun, & M. L. Gavrilova (Eds.), Computational Science and Its Applications - ICCSA 2008: International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part I (pp. 756-768). (Lecture Notes in Computer Science; Vol. 5072). Springer. https://doi.org/10.1007/978-3-540-69839-5_55

Debba, P. ; Stein, A. ; van der Meer, F.D. et al. / Field sampling from a segmented image. Computational Science and Its Applications - ICCSA 2008: International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part I. editor / Osvaldo Gervasi ; Beniamino Murgante ; Antonio Laganà ; David Taniar ; Youngsong Mun ; Marina L. Gavrilova. Perugia, Italy : Springer, 2008. pp. 756-768 (Lecture Notes in Computer Science).

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title = "Field sampling from a segmented image",

abstract = "This paper presents a statistical method for deriving the optimal prospective field sampling scheme on a remote sensing image to represent different categories in the field. The iterated conditional modes algorithm (ICM) is used for segmentation followed by simulated annealing within each category. Derived field sampling points are more intense in heterogenous segments. This method is applied to airborne hyperspectral data from an agricultural field. The optimized sampling scheme shows superiority to simple random sampling and rectangular grid sampling in estimating common vegetation indices and is thus more representative of the whole study area.",

keywords = "ADLIB-ART-278, EOS, ESA, 2024 OA procedure",

author = "P. Debba and A. Stein and {van der Meer}, F.D. and E.J.M Carranza and A. Lucieer",

year = "2008",

doi = "10.1007/978-3-540-69839-5_55",

language = "English",

isbn = "978-3-540-69838-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "756--768",

editor = "Osvaldo Gervasi and Beniamino Murgante and Antonio Lagan{\`a} and David Taniar and Youngsong Mun and Gavrilova, {Marina L.}",

booktitle = "Computational Science and Its Applications - ICCSA 2008",

address = "Germany",

}

Debba, P, Stein, A , van der Meer, FD, Carranza, EJM & Lucieer, A 2008, Field sampling from a segmented image. in O Gervasi, B Murgante, A Laganà, D Taniar, Y Mun & ML Gavrilova (eds), Computational Science and Its Applications - ICCSA 2008: International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part I. Lecture Notes in Computer Science, vol. 5072, Springer, Perugia, Italy, pp. 756-768. https://doi.org/10.1007/978-3-540-69839-5_55

Field sampling from a segmented image. / Debba, P.; Stein, A.; van der Meer, F.D. et al.
Computational Science and Its Applications - ICCSA 2008: International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part I. ed. / Osvaldo Gervasi; Beniamino Murgante; Antonio Laganà; David Taniar; Youngsong Mun; Marina L. Gavrilova. Perugia, Italy: Springer, 2008. p. 756-768 (Lecture Notes in Computer Science; Vol. 5072).

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

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AB - This paper presents a statistical method for deriving the optimal prospective field sampling scheme on a remote sensing image to represent different categories in the field. The iterated conditional modes algorithm (ICM) is used for segmentation followed by simulated annealing within each category. Derived field sampling points are more intense in heterogenous segments. This method is applied to airborne hyperspectral data from an agricultural field. The optimized sampling scheme shows superiority to simple random sampling and rectangular grid sampling in estimating common vegetation indices and is thus more representative of the whole study area.

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KW - EOS

KW - ESA

KW - 2024 OA procedure

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DO - 10.1007/978-3-540-69839-5_55

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A2 - Gavrilova, Marina L.

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Debba P, Stein A , van der Meer FD, Carranza EJM, Lucieer A. Field sampling from a segmented image. In Gervasi O, Murgante B, Laganà A, Taniar D, Mun Y, Gavrilova ML, editors, Computational Science and Its Applications - ICCSA 2008: International Conference, Perugia, Italy, June 30 - July 3, 2008, Proceedings, Part I. Perugia, Italy: Springer. 2008. p. 756-768. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-69839-5_55

Field sampling from a segmented image

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