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Multi-UAV surveillance over forested regions / Vengatesan Govindaraju in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 12 (December 2014) . - pp 1129 - 1137 Titre : Multi-UAV surveillance over forested regions Type de document : Article/Communication Auteurs : Vengatesan Govindaraju, Auteur ; Gerard Leng, Auteur ; Zhang Qian, Auteur Année de publication : 2014 Article en page(s) : pp 1129 - 1137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] couvert forestier [Termes IGN] diagramme de Voronoï [Termes IGN] drone [Termes IGN] point d'appui [Termes IGN] rayonnement incident [Termes IGN] relief [Termes IGN] simulation 3D [Termes IGN] tessellation Résumé : (auteur) S-UAVs (Small-Unmanned Aerial Vehicles) have emerged as low-cost alternatives for aerial surveillance over forests. However, they provide limited coverage owing to their low altitudes and short endurance. Therefore, a quick and effective surveillance necessitates optimal flying paths, maximizing ground visibility. Even though the occlusion of ground points due to vegetation is significant in forests, it is generally neglected. This paper proposes a probabilistic sensing model that incorporates both occlusions due to terrain and vegetation, in the visibility computations and presents a two-step approach to determine near-optimal flight paths: (a) waypoints are strategically deployed to enhance visibility, using centroidal Voronoi tessellation, and (b) flyable paths are designed using a clustered spiral-alternating algorithm. Simulation studies conducted on synthetic terrains and a reconstructed terrain, from satellite data of tree-cover and a Digital Elevation Model (DEM), show the effectiveness of the proposed method in improving the terrain visibility as compared to commonly used grid-based waypoints. Numéro de notice : A2014-669 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.12.1129 En ligne : https://doi.org/10.14358/PERS.80.12.1129 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75128 [article]