HayDubeBouchardEtAl2002

Référence

Hay, G.J., Dube, P., Bouchard, A., Marceau, D.J. (2002) A scale-space primer for exploring and quantifying complex landscapes. Ecological Modelling, 153(1-2):27-49.

Résumé

Over the last two decades, the scale-space community has developed into a reputable field in computer vision, yet its nontrivial mathematics (i.e. group invariance, differential geometry and tensor analysis) limit its adoption by a larger body of researchers and scientists, whose interests in multiscale analysis range from biomedical imaging to landscape ecology. In an effort to disseminate the ideas of this community to a wider audience we present this non-mathematical primer, which introduces the theory, methods, and utility of scale-space for exploring and quantifying multi-scale landscape patterns within the context of Complex Systems theory. In addition, we suggest that Scale-Space theory, combined with remote sensing imagery and blob-feature detection techniques, satisfy many of the requirements of an idealized multiscale framework for landscape analysis. © 2002 Elsevier Science B.V. All rights reserved.

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@ARTICLE { HayDubeBouchardEtAl2002,
    AUTHOR = { Hay, G.J. and Dube, P. and Bouchard, A. and Marceau, D.J. },
    TITLE = { A scale-space primer for exploring and quantifying complex landscapes },
    JOURNAL = { Ecological Modelling },
    YEAR = { 2002 },
    VOLUME = { 153 },
    PAGES = { 27-49 },
    NUMBER = { 1-2 },
    NOTE = { 03043800 (ISSN) Cited By (since 1996): 23 Export Date: 26 April 2007 Source: Scopus CODEN: ECMOD doi: 10.1016/S0304-3800(01)00500-2 Language of Original Document: English Correspondence Address: Hay, G.J.; Geocomputing Laboratory; Departement de Geographie; Universite? de Montre?al; C.P. 6128, succursale Centre-Ville Montreal, Que. H3C 3J7, Canada; email: ghay@sympatico.ca References: Ahl, V., Allen, T.F.H., (1996) Hierarchy Theory: A Vision, Vocabulary, and Epistemology, , Columbia University Press, New York; Allen, T.F.H., Starr, T.B., (1982) Hierarchy Perspective for Ecological Complexity, p. 310. , University of Chicago Press, Chicago; Allen, T.F.H., Hoekstra, T.W., Role of heterogeneity in scaling of ecological systems under analysis (1991) In Ecological Studies 86: Ecological Heterogeneity, pp. 47-68. , Kolasa, J., Pickett, S.T.A. (Eds.). Springer; Bak, P., Tang, C., Wiesenfeld, K., Self-organized criticality (1988) Phys. Rev. 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    ABSTRACT = { Over the last two decades, the scale-space community has developed into a reputable field in computer vision, yet its nontrivial mathematics (i.e. group invariance, differential geometry and tensor analysis) limit its adoption by a larger body of researchers and scientists, whose interests in multiscale analysis range from biomedical imaging to landscape ecology. In an effort to disseminate the ideas of this community to a wider audience we present this non-mathematical primer, which introduces the theory, methods, and utility of scale-space for exploring and quantifying multi-scale landscape patterns within the context of Complex Systems theory. In addition, we suggest that Scale-Space theory, combined with remote sensing imagery and blob-feature detection techniques, satisfy many of the requirements of an idealized multiscale framework for landscape analysis. © 2002 Elsevier Science B.V. All rights reserved. },
    KEYWORDS = { Blob-feature detection Complex systems Landscape patterns Multiscale analysis Scale-space landscape ecology remote sensing spatial analysis theory },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.04 },
}

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