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doctoral thesis
A method of hydrographic survey technology selection based on the decision tree supervised learning
2021. urn:nbn:hr:164:995225
Golub Medvešek, Ivana
University of Split
Faculty of Maritime Studies
Department of nautical studies

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Golub Medvešek, I. (2021). A method of hydrographic survey technology selection based on the decision tree supervised learning (Doctoral thesis). Split: University of Split, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek, Ivana. "A method of hydrographic survey technology selection based on the decision tree supervised learning." Doctoral thesis, University of Split, Faculty of Maritime Studies, 2021. https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek, Ivana. "A method of hydrographic survey technology selection based on the decision tree supervised learning." Doctoral thesis, University of Split, Faculty of Maritime Studies, 2021. https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek, I. (2021). 'A method of hydrographic survey technology selection based on the decision tree supervised learning', Doctoral thesis, University of Split, Faculty of Maritime Studies, accessed 23 February 2025, https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek I. A method of hydrographic survey technology selection based on the decision tree supervised learning [Doctoral thesis]. Split: University of Split, Faculty of Maritime Studies; 2021 [cited 2025 February 23] Available at: https://urn.nsk.hr/urn:nbn:hr:164:995225

I. Golub Medvešek, "A method of hydrographic survey technology selection based on the decision tree supervised learning", Doctoral thesis, University of Split, Faculty of Maritime Studies, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:164:995225

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Metadata
TitleA method of hydrographic survey technology selection based on the decision tree supervised learning
Title (english)Rad ne sadrži naslov na drugom jeziku.
AuthorIvana Golub Medvešek
MentorHrvoje Dodig (mentor)
MentorNenad Leder (komentor)
Committee memberPero Vidan (predsjednik povjerenstva)
Committee memberJoško Šoda (član povjerenstva)
Committee memberIgor Vujović (član povjerenstva)
Committee memberTina Perić (član povjerenstva)
Committee memberBlagovest Belev https://orcid.org/0000-0001-9458-6070 (član povjerenstva)
GranterUniversity of Split
Faculty of Maritime Studies
(Department of nautical studies)
Split
Defense date and country2021, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Universal decimal classification
(UDC)		62 - Engineering. Technology in general
Abstract
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... More 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. Less
Abstract (english)
Rad ne sadrži sažetak na drugom jeziku.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:164:995225
Promotion2021
Study programmeTitle: Obtaining a doctorate of science outside of doctoral studies
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti (doktor/doktorica znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-10-04 13:54:54
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