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Automatic determination of the optimum generic sensor model based on genetic algorithm concepts / F. Samadzadegan in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 3 (March 2005) . - pp 277 - 288 Titre : Automatic determination of the optimum generic sensor model based on genetic algorithm concepts Type de document : Article/Communication Auteurs : F. Samadzadegan, Auteur ; A. Azizi, Auteur ; A. Abootalebi, Auteur Année de publication : 2005 Article en page(s) : pp 277 - 288 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] algorithme génétique [Termes IGN] capteur optique [Termes IGN] espace image [Termes IGN] espace objet [Termes IGN] image optique [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modèle mathématique Résumé : (Auteur) Generic sensor models (GSMs) are comprehensive mathematical models by which different geometric structures of satellite images could be modeled in order to establish the connection between image and object spaces. Nevertheless, as they are mathematical models, rather than physical models, it is difficult to determine which term and order of GSMs can provide the best result. Therefore, conventional solutions need an expert operator to try different terms and orders for the best solution of GSMs or to find the best trade-off, which is a complex and time consuming process. Moreover, conventional solutions for automatic determination of the optimum GSM parameters are not practically efficient and instead of going towards the global optimum, frequently get trapped in some local optima. In this paper, we propose a novel methodology which automatically determines the optimum GSM's terms and orders based on genetic algorithm concepts. Extensive evaluations carried out on a wide range of different optical satellite images demonstrate the high potentials of the proposed strategy. Numéro de notice : A2005-104 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.3.277 En ligne : https://doi.org/10.14358/PERS.71.3.277 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27242 [article]