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Auteur A. Baruch |
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Detection of sinkhole hazards using Airborne Laser Scanning Data / S. Filin in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)
[article]
Titre : Detection of sinkhole hazards using Airborne Laser Scanning Data Type de document : Article/Communication Auteurs : S. Filin, Auteur ; A. Baruch, Auteur Année de publication : 2010 Article en page(s) : pp 577 - 587 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection automatique
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] effondrement de terrain
[Termes IGN] lasergrammétrie
[Termes IGN] risque naturel
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Airborne laser scanning technology is primarily perceived as a means for gathering detailed three-dimensional information about the surface and objects on it. The dense 3D data contain information about surface features and geohazards, some of which are of subtle form. Geohazards are usually embedded within the terrain, and scarcely form distinct shape-transition to their surroundings; therefore their detection is challenging. We address in this paper detection of subtle terrain features and demonstrate it on collapse sinkholes. Collapse sinkholes are surface depressions whose formation has severe effect on the environment and on regional development. We present an autonomous model for their extraction and characterization. Sinkholes within the studied regions appear in various size, forms, from their embryonic to a well developed formation. The level of sinkhole detection is high, and as demonstrated, the model performs well under varying landforms and surface texture, with little influence on the correctness of the extracted sinkholes. As the results show, features of approximately 20 cm deep can be identified and separated from their surroundings in the data. Copyright ASPRS Numéro de notice : A2010-161 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.5.577 En ligne : https://doi.org/10.14358/PERS.76.5.577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30356
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 5 (May 2010) . - pp 577 - 587[article]