Centre de documentation
scientifique

Dépouillements

Alternative methodologies for the internal quality control of parallele LIDAR strips / A. Habib in IEEE Transactions on geoscience and remote sensing, vol 48 n° 1 Tome 1 (January 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 1 Tome 1 (January 2010) . - pp 221 - 236 Titre : Alternative methodologies for the internal quality control of parallele LIDAR strips Type de document : Article/Communication Auteurs : A. Habib, Auteur ; A.P. Kesrting, Auteur ; K.I. Bang, Auteur ; D.C. Lee, Auteur Année de publication : 2010 Article en page(s) : pp 221 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] bruit (théorie du signal) [Termes IGN] contrôle qualité [Termes IGN] données lidar [Termes IGN] erreur systématique [Termes IGN] lasergrammétrie [Termes IGN] procédé [Termes IGN] recouvrement d'images [Termes IGN] semis de points Résumé : (Auteur) Light Detection and Ranging (LiDAR) systems have been widely adopted for the acquisition of dense and accurate topographic data over extended areas. Although the utilization of this technology has increased in different applications, the development of standard methodologies for the quality control (QC) of LiDAR data has not followed the same trend. In other words, a lack in reliable, practical, cost-effective, and commonly acceptable QC procedures is evident. A frequently adopted procedure for QC is comparing the LiDAR data to ground control points. Aside from being expensive, this approach is not accurate enough for the verification of horizontal accuracy, unless specifically designed LiDAR targets are used. This paper is dedicated to providing accurate, economical, and convenient internal QC procedures for the evaluation of LiDAR data, which is captured from parallel flight lines. The underlying concept of the proposed methodologies is that, in the absence of systematic and random errors in system parameters and measurements, conjugate surface elements in overlapping strips should perfectly match each other. Consistent incompatibilities and the quality of fit between conjugate surface elements in overlapping strips can be used to detect systematic errors in the system parameters/measurements and to evaluate the noise level in the LiDAR point cloud, respectively. Experimental results from real data demonstrate that all the proposed methods, with one exception, produce compatible estimates of systematic discrepancies between the involved data sets, as well as good quantification of inherent noise. Copyright IEEE Numéro de notice : A2010-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2026424 Date de publication en ligne : 15/09/2009 En ligne : https://doi.org/10.1109/TGRS.2009.2026424 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30216 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2010011A	RAB	Revue	Centre de documentation	En réserve L003	Disponible