Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 79 n° 7Paru le : 01/07/2013 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierUtility of the wavelet transform for LAI estimation using hyperspectral data / Asim Banskota in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 7 (July 2013)
[article]
Titre : Utility of the wavelet transform for LAI estimation using hyperspectral data Type de document : Article/Communication Auteurs : Asim Banskota, Auteur ; Randolph H. Wynne, Auteur ; Shawn P. Serbin, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : 662 p. ; pp 653 - 662 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] algorithme génétique
[Termes IGN] forêt tempérée
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] Leaf Area Index
[Termes IGN] transformation en ondelettes
[Termes IGN] Wisconsin (Etats-Unis)Résumé : (Auteur) We employed the discrete wavelet transform to reflectance spectra obtained from hyperspectral data to improve estimation of LAi in temperate forests. We estimated LAl for 32 plots across a range afforest types in Wisconsin using hemispherical photography. Plot spectra were extracted from AVIRIS data and transformed into wavelet features using the Haar wavelet. Separately, subsets of spectral bands and the Haar features selected by a genetic algorithm were used as independent variables in linear regressions. Models using wavelet coefficients explained the most variance for both broadleaf plots (R2 = 0.90 for wavelet features versus R2 = 0.80 for spectral bands) and all plots independent afforest type (R2 = 0.79 for wavelet features vs. R2 = 0.58 for spectral bands). The forest-type specific models were better than the models using all plots combined. Overall, wavelet features appear superior to band reflectances alone for estimating temperate forest LAI using hyperspectral data. Numéro de notice : A2013-394 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.7.653 En ligne : https://doi.org/10.14358/PERS.79.7.653 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32532
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 7 (July 2013) . - 662 p. ; pp 653 - 662[article]Assessing lidar accuracy with hexagonal retro-reflective targets / Roberto Canavosio-Zuzelski in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 7 (July 2013)
[article]
Titre : Assessing lidar accuracy with hexagonal retro-reflective targets Type de document : Article/Communication Auteurs : Roberto Canavosio-Zuzelski, Auteur ; James Hogarty, Auteur ; Craig Rodarmel, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 663 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] cible réfléchissante
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] instabilité du vecteur (télédétection)
[Termes IGN] Lidar
[Termes IGN] ligne de visée
[Termes IGN] points homologues
[Termes IGN] précision du positionnementRésumé : (Auteur) Airborne lidar systems have the potential to produce extremely accurate terrain information at high spatial densities. However, to meet stringent accuracy requirements and minimize systematic errors, proper calibration of the lidar system is required. "Boresighting" is a technique used to correct for some of these systematic errors and improve the spatial alignment of lidar passes. One challenge with boresighting is the mensuration accuracy to which a known point can be located in overlapping low density lidar strips. To address this issue, a raised Hexagonal Retro-Reflective Lidar ground Target (hrrt) is introduced. The target was optimized for precise mensuration at low point densities. The mensuration model is based on a least squares hexagon fitting approach and is proven to produce mensuration accuracies of 5 cm horizontal and 4 cm vertical (1-sigma) at ~2 pts/m2. To demonstrate a practical application, the hrrt's are used as tie points in a rigorous boresight adjustment to compute lidar strip misalignment parameters (roll, pitch, heading, and range bias). The adjustment results show that accurate boresight parameters are recovered along with their associated uncertainties. Numéro de notice : A2013-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.7.663 En ligne : https://doi.org/10.14358/PERS.79.7.663 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32533
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 7 (July 2013) . - pp 663 - 670[article]