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Reducing the dimensionality of plant spectral databases / I.E. Bell in IEEE Transactions on geoscience and remote sensing, vol 42 n° 3 (March 2004)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 42 n° 3 (March 2004) . - pp 570 - 576 Titre : Reducing the dimensionality of plant spectral databases Type de document : Article/Communication Auteurs : I.E. Bell, Auteur ; V.G. Baranoski, Auteur Année de publication : 2004 Article en page(s) : pp 570 - 576 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse en composantes principales [Termes IGN] base de données [Termes IGN] biologie [Termes IGN] réflectance végétale [Termes IGN] transmittance [Termes IGN] végétation Résumé : (Auteur) Ground-based measurements of plant reflectance and transmittance are essential for remote sensing projects oriented toward agriculture, forestry, and ecology. This paper examines the application of principal components analysis (PCA) in the storage and reconstruction of such plant spectral data. A novel piecewise PCA approach (PPCA), which takes into account the biological factors that affect the interaction of solar radiation with plants, is also proposed. These techniques are compared through experiments involving the reconstruction of reflectance and transmittance curves for herbaceous and woody specimens. The spectral data used in these experiments were obtained from the Leaf Optical Properties Experiment (LOPEX) database. The reconstructions were performed aiming at a root-mean-square error (RMSE) lower than 1%. The results of these experiments indicate that PCA can effectively reduce the dimensionality of plant spectral databases from the visible to the infrared regions of the light spectrum, and that the PPCA approach can further maximize the accuracy/cost ratio of the storage and reconstruction of plant spectral reflectance and transmittance data. Numéro de notice : A2004-155 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.821697 En ligne : https://doi.org/10.1109/TGRS.2003.821697 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26682 [article]

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