JayasingheFournierMiller1989

Reference

Jayasinghe, D., Fournier, R.A., Miller, J. (1989) Texture analysis in matching 3D tree models to remotely sensed data. In Digest - International Geoscience and Remote Sensing Symposium (IGARSS). Pages 165-. (Scopus )

Abstract

Summary form only given. A geometrical-optical model has been developed to represent the radiative properties of a known forest canopy for a given illumination and viewing geometry, in terms of the physical canopy parameters. A comparison of the radiances of the model and the original viewing geometry (at similar illumination conditions), with respect to their gray level frequency distribution and patterns, was carried out. Also performed was a comparison of the texture measures such as entropy, inertia, correlation, contrast, sum of squares, inverse difference moment, sum variance, difference variance, difference entropy, and maximal correlation coefficient calculated with the spatial gray-level dependence method for the original trees. Statistical tests such as the student t-test and correlation coefficient analysis have been conducted with the texture measures obtained for the model and the original to show how closely they resemble each other.

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@INPROCEEDINGS { JayasingheFournierMiller1989,
    AUTHOR = { Jayasinghe, D. and Fournier, R.A. and Miller, J. },
    TITLE = { Texture analysis in matching 3D tree models to remotely sensed data },
    JOURNAL = { Digest - International Geoscience and Remote Sensing Symposium (IGARSS) },
    YEAR = { 1989 },
    VOLUME = { 1 },
    PAGES = { 165-- },
    ABSTRACT = { Summary form only given. A geometrical-optical model has been developed to represent the radiative properties of a known forest canopy for a given illumination and viewing geometry, in terms of the physical canopy parameters. A comparison of the radiances of the model and the original viewing geometry (at similar illumination conditions), with respect to their gray level frequency distribution and patterns, was carried out. Also performed was a comparison of the texture measures such as entropy, inertia, correlation, contrast, sum of squares, inverse difference moment, sum variance, difference variance, difference entropy, and maximal correlation coefficient calculated with the spatial gray-level dependence method for the original trees. Statistical tests such as the student t-test and correlation coefficient analysis have been conducted with the texture measures obtained for the model and the original to show how closely they resemble each other. },
    COMMENT = { Export Date: 10 February 2010 Source: Scopus CODEN: IGRSE },
    KEYWORDS = { Forestry, Image Processing--Image Analysis, Statistical Methods, 3D Tree Models, Abstract Only, Difference Entropy, Forest Canopy, Gray-Level Dependence, Texture Analysis, Remote Sensing },
    OWNER = { Luc },
    TIMESTAMP = { 2010.02.10 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-0024831533&partnerID=40&md5=5156f38224445a9019dd4adc90e0c845 },
}

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