FournierMiller1989

Référence

Fournier, R.A. and Miller, J.R. (1989) A 3-dimensional Modelling Of Forest Canopies For High Resolution Imagery. In IGARSS'89 - Twelfth Canadian Symposium on Remote Sensing. jul. IEEE, pages 2370- 2373. (URL )

Résumé

Spatial variation in the reflected radiance, referred to as texture, which is observed by an airborne sellsor overa forest canopy contains valuable information. This information relates to the canopy's physical morphologicalparameters such as tree species, height, biomass, spacing and canopy shape. Human Interpreters have beenhighly successful in providing estimates of such physical parameters from textural information of air photos.However, the development of textural analysis of digital imagery in remote sensing applied to forestry iscurrently at a relatively primitive stage. Future application of high resolution remote sensing images to forestcanopies may be dependent on the development of models and/or algorithms to assist in extraction of canopyparameters and spectral scene classification.This research consists of a comprehensive study of the influencing parameters of a forestry scene at highspatial resolution. Utilizing a geometric/optical approach, a canopy radiance model is formulated in orderto explore the relationship between image radiometric texture and canopy physical parameters. The geometric/opticalmodel assumes a hierarchy of primary and secondary influencing factors. The prima.ry geometricalparameters of influence are: the tree shape, the pixel dimension, the source and the viewing direction in additionto optical characteristics, such as the amount of collimated and diffuse sky illumination, the reflectivityand transmissivity factors, and the projected and mutual shading. Secondary parameters of influence mod"lledinclude the light penetra.tion in the canopy, a more refined evaluation of the diffuse sky illumina.(,ion, and theradiance from surrounding pixels in the scene. A modelled image can then be generated'from the reconstitutedscene by taking these factors of influence into account. The textural model featu\'es which best produce thevariance of the image radiance patterns have been investigated through the examination of airborne imagerycompared to the modelled texture.

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@INPROCEEDINGS { FournierMiller1989,
    AUTHOR = { Fournier, R.A. and Miller, J.R. },
    TITLE = { A 3-dimensional Modelling Of Forest Canopies For High Resolution Imagery },
    BOOKTITLE = { IGARSS'89 - Twelfth Canadian Symposium on Remote Sensing },
    YEAR = { 1989 },
    VOLUME = { 4 },
    PAGES = { 2370- 2373 },
    MONTH = { jul },
    PUBLISHER = { IEEE },
    ABSTRACT = { Spatial variation in the reflected radiance, referred to as texture, which is observed by an airborne sellsor overa forest canopy contains valuable information. This information relates to the canopy's physical morphologicalparameters such as tree species, height, biomass, spacing and canopy shape. Human Interpreters have beenhighly successful in providing estimates of such physical parameters from textural information of air photos.However, the development of textural analysis of digital imagery in remote sensing applied to forestry iscurrently at a relatively primitive stage. Future application of high resolution remote sensing images to forestcanopies may be dependent on the development of models and/or algorithms to assist in extraction of canopyparameters and spectral scene classification.This research consists of a comprehensive study of the influencing parameters of a forestry scene at highspatial resolution. Utilizing a geometric/optical approach, a canopy radiance model is formulated in orderto explore the relationship between image radiometric texture and canopy physical parameters. The geometric/opticalmodel assumes a hierarchy of primary and secondary influencing factors. The prima.ry geometricalparameters of influence are: the tree shape, the pixel dimension, the source and the viewing direction in additionto optical characteristics, such as the amount of collimated and diffuse sky illumination, the reflectivityand transmissivity factors, and the projected and mutual shading. Secondary parameters of influence mod"lledinclude the light penetra.tion in the canopy, a more refined evaluation of the diffuse sky illumina.(,ion, and theradiance from surrounding pixels in the scene. A modelled image can then be generated'from the reconstitutedscene by taking these factors of influence into account. The textural model featu\'es which best produce thevariance of the image radiance patterns have been investigated through the examination of airborne imagerycompared to the modelled texture. },
    DOI = { 10.1109/IGARSS.1989.577872 },
    KEYWORDS = { canopy model, canopy parameters, forestry, geometric/ optical modei, radiance patterns },
    URL = { http://ieeexplore.ieee.org/document/577872/ },
}

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