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A method of hydrographic survey technology selection based on the decision tree supervised learning / Ivana Golub Medvešek (2021)  

Public Titre : A method of hydrographic survey technology selection based on the decision tree supervised learning Type de document : Thèse/HDR Auteurs : Ivana Golub Medvešek, Auteur ; Hrvoje Dodig, Directeur de thèse ; Nenad Leder, Directeur de thèse Editeur : University of Split Année de publication : 2021 Importance : 106 p. Format : 21 x 30 cm Note générale : bibliographie Dissertation submitted for the degree of Doctor of Philosophy Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bathymétrie [Termes IGN] arbre de décision [Termes IGN] carte marine [Termes IGN] classification dirigée [Termes IGN] combinaison linéaire ponderée [Termes IGN] Croatie [Termes IGN] eaux côtières [Termes IGN] levé hydrographique [Termes IGN] lever bathymétrique [Termes IGN] profondeur [Termes IGN] sécurité maritime Index. décimale : THESE Thèses et HDR Résumé : (auteur) Hydrographic survey or seabed mapping plays an important role in achieving better maritime safety, especially in coastal waters. Due to advances in survey technologies, it becomes important to choose well-suited technology for a specific area. Moreover, various technologies have various ranges of equipment and manufacturers, as well as characteristics. Therefore, in this thesis, a proposed method of a hydrographic survey, i.e., identifying the appropriate technology, has been developed. The method is based on a reduced elimination matrix, decision tree supervised learning, and multicriteria decision methods. The available technologies were: SBES (research vessel), SBES+SSS (research vessel), MBES (research vessel), MBES (research vessel)+SBES (small boat), LIDAR (UAV), SDB (satellite sensors) and they are applied as a case study of Kaštela Bay. The optimal technology for Kaštela Bay study case was MBES (research vessel) and MBES (research vessel) + SBES (small boat) with a score of 0.97. Then with a score of 0.82 follows the SDB technology. Other available alternatives have a significantly lower score. It is a small evident difference between the three alternatives SBES (research vessel), SBES+SSS (research vessel), and LIDAR, which have a WSM score in the range from 0.58 – 0.65. Note de contenu : 1- Introduction 2- Basic characteritics of international hydrographic organizations and hydrographic survey 3- Analysis and evaluation of hydrographic surveys 4- Analysis of parameters as a function of hydrographic survey cost 5- Metodology of making the optimal hydrographic survey technologies solution 6- Case study 7- Concluding remarks 8- Literature 9- List of figures 10- List of tables 11- Biblography Numéro de notice : 28494 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Thèse étrangère Note de thèse : PhD Thesis : Sciences techniques : Split : Croatie :2021 Organisme de stage : Faculty of Maritime Studies (University of Split) DOI : sans En ligne : https://repozitorij.pfst.unist.hr/islandora/object/pfst:1069 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99231