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Factors influencing pulse width of small footprint, full wave form airborne laser scanning data / Y.C. Lin in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 1 (January 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 1 (January 2010) . - pp 49 - 59 Titre : Factors influencing pulse width of small footprint, full wave form airborne laser scanning data Type de document : Article/Communication Auteurs : Y.C. Lin, Auteur ; Jon P. Mills, Auteur Année de publication : 2010 Article en page(s) : pp 49 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] balayage laser [Termes IGN] classification automatique [Termes IGN] impulsion laser [Termes IGN] lidar à retour d'onde complète [Termes IGN] longueur d'onde [Termes IGN] télémétrie laser aéroporté Résumé : (Auteur) Small footprint, full waveform airborne laser scanning provides the opportunity to derive high-resolution geometric and physical information simultaneously from a single scanner system. This study evaluates the influence of various factors on the shape of the returned waveform and investigates the possibility of improving terrain classification by applying waveform-derived information. The factors discussed are surface roughness, slope angle, scan angle, amplitude, and footprint size. It is statistically demonstrated that roughness is the most significant factor affecting pulse width, and that, over relatively smooth surfaces, there is no significant variation in pulse width behavior resulting from different footprint sizes. Pulse width also exhibits a relatively stable behavior when amplitude, range distance, or scan angle vary substantially. The overall accuracy of classification achieved by applying pulse width information over all the different land-cover types examined in this study (including scrub, hillside, single trees, and forest areas) was greater than 85 percent, with > 94 percent achieved for open vegetation areas. Physical surface information provided by small footprint waveform data is considered to be at the microscale, therefore it is recommended to combine such information with geometry (e.g., filtering algorithms) for the optimal identification of terrain points. Copyright ASPRS Numéro de notice : A2010-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.1.49 En ligne : https://doi.org/10.14358/PERS.76.1.49 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30209 [article]