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Repetitive interpolation: A robust algorithm for DTM generation from aerial Laser scanner data in forested terrain / A. Kobler in Remote sensing of environment, vol 108 n° 1 (15/05/2007)  

Public [article]  inRemote sensing of environment > vol 108 n° 1 (15/05/2007) . - pp 9 - 23 Titre : Repetitive interpolation: A robust algorithm for DTM generation from aerial Laser scanner data in forested terrain Type de document : Article/Communication Auteurs : A. Kobler, Auteur ; Norbert Pfeifer, Auteur ; P. Ogrine, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 9 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] forêt tempérée [Termes IGN] interpolation [Termes IGN] lasergrammétrie [Termes IGN] modèle numérique de terrain [Termes IGN] semis de points [Termes IGN] télémétrie laser aéroporté Résumé : (Auteur) We present a new algorithm for digital terrain model (DTM) generation from an airborne laser scanning point cloud, called repetitive interpolation (REIN). It is especially applicable in steep, forested areas where other filtering algorithms typically have problems distinguishing between ground returns and off-ground points reflected in the vegetation. REIN can produce a DTM either in a vector grid or in a TIN data structure. REIN is applied after an initial filtering, which involves removal of all negative outliers and removal of many, but not necessarily all, off-ground points by some existing filtering algorithm. REIN makes use of the redundancy in the initially filtered point cloud (FPC) in order to mitigate the effect of the residual off-ground points. Multiple independent random samples are taken from the initial FPC. From each sample, ground elevation estimates are interpolated at individual DTM locations. Because the lower bounds of the distributions of the elevation estimates at each DTM location are almost insensitive to positive outliers, the true ground elevations can be approximated by adding the global mean offset to the lower bounds, which is estimated from the data. The random sampling makes REIN unique among the methods of filtering airborne laser data. While other filters behave deterministically, always generating a filter error in special situations, in REIN, because of its random aspects, these errors do not occur in each sample, and typically cancel out in the final computation of DTM elevations. Reduction of processing time by parallelization of REIN is possible. REIN was tested in a test area of 2 hectares, encompassing steep relief covered by mixed forest. An Optech ALTM 1020 lidar was used, with a flying height of 260–300 m above the ground, the beam divergence was 0.3 mrad, and the obtained point cloud density for the last returns was 8.5 m- 2. A DTM grid was generated with 1 m horizontal resolution. The root mean square elevation error of the DTM ranged between 1 0.16 m and 1 0.37 m, depending on REIN sampling rate and number of samples taken, the lowest value achieved with 4 samples and using a 23% sampling rate. The paper also gives a short overview on existing filtering algorithms. Copyright Elsevier Numéro de notice : A2007-216 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.10.013 En ligne : https://doi.org/10.1016/j.rse.2006.10.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28579 [article]

Taming the wilderness / M. Hocevar in GIS Europe, vol 7 n° 4 (01/04/1998)

Public [article]  inGIS Europe > vol 7 n° 4 (01/04/1998) . - pp 20 - 23 Titre : Taming the wilderness Type de document : Article/Communication Auteurs : M. Hocevar, Auteur ; M. Hovac, Auteur ; A. Kobler, Auteur Année de publication : 1998 Article en page(s) : pp 20 - 23 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] forêt tempérée [Termes IGN] logiciel [Termes IGN] photographie aérienne [Termes IGN] Slovénie [Termes IGN] sylviculture [Termes IGN] système d'information géographique Résumé : Plus de la moitié du territoire de la Slovénie est couvert de forêt. Les autorités ont décidé de standardiser l'exploitation forestière. Présentation d'un SIG utilisant les images photogrammétriques, le Système d'Information Forestière. Classification des parcelles d'exploitation. Numéro de notice : A1998-101 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26068 [article]

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