Détail de l'auteur
Auteur S. Chandra |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
LiDAR-derived high quality ground control information and DEM for image orthorectification / X. Liu in Geoinformatica, vol 11 n° 1 (March - May 2007)
[article]
Titre : LiDAR-derived high quality ground control information and DEM for image orthorectification Type de document : Article/Communication Auteurs : X. Liu, Auteur ; Z. Zhang, Auteur ; J. Peterson, Auteur ; S. Chandra, Auteur Année de publication : 2007 Article en page(s) : pp 37 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] données lidar
[Termes IGN] ERDAS Imagine
[Termes IGN] géoréférencement
[Termes IGN] image numérisée
[Termes IGN] lasergrammétrie
[Termes IGN] modèle numérique de surface
[Termes IGN] orthoimage
[Termes IGN] orthoimage intégrale
[Termes IGN] orthorectification
[Termes IGN] point d'appui
[Termes IGN] Victoria (Australie)Résumé : (Auteur) Orthophotos (or orthoimages if in digital form) have long been recognised as a supplement or alternative to standard maps. The increasing applications of orthoimages require efforts to ensure the accuracy of produced orthoimages. As digital photogrammetry technology has reached a stage of relative maturity and stability, the availability of high quality ground control points (GCPs) and digital elevation models (DEMs) becomes the central issue for successfully implementing an image orthorectification project. Concerns with the impacts of the quality of GCPs and DEMs on the quality of orthoimages inspire researchers to look for more reliable approaches to acquire high quality GCPs and DEMs for orthorectification. Light Detection and Ranging (LiDAR), an emerging technology, offers capability of capturing high density three dimensional points and generating high accuracy DEMs in a fast and cost-effective way. Nowadays, highly developed computer technologies enable rapid processing of huge volumes of LiDAR data. This leads to a great potential to use LiDAR data to get high quality GCPs and DEMs to improve the accuracy of orthoimages. This paper presents methods for utilizing LiDAR intensity images to collect high accuracy ground coordinates of GCPs and for utilizing LiDAR data to generate a high quality DEM for digital photogrammetry and orthorectification processes. A comparative analysis is also presented to assess the performance of proposed methods. The results demonstrated the feasibility of using LiDAR intensity image-based GCPs and the LiDAR-derived DEM to produce high quality orthoimages. Copyright Springer Numéro de notice : A2007-165 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-006-0005-9 En ligne : https://doi.org/10.1007/s10707-006-0005-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28528
in Geoinformatica > vol 11 n° 1 (March - May 2007) . - pp 37 - 53[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-07011 RAB Revue Centre de documentation En réserve L003 Disponible