prikaz prve stranice dokumenta Linear feature detection on SDSS images
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master's thesis
Linear feature detection on SDSS images
2015. urn:nbn:hr:166:540014
Bektešević, Dino
University of Split
Faculty of Science
Department of Physics

Cite this document

Bektešević, D. (2015). Linear feature detection on SDSS images (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:540014

Bektešević, Dino. "Linear feature detection on SDSS images." Master's thesis, University of Split, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:166:540014

Bektešević, Dino. "Linear feature detection on SDSS images." Master's thesis, University of Split, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:166:540014

Bektešević, D. (2015). 'Linear feature detection on SDSS images', Master's thesis, University of Split, Faculty of Science, accessed 26 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:540014

Bektešević D. Linear feature detection on SDSS images [Master's thesis]. Split: University of Split, Faculty of Science; 2015 [cited 2024 April 26] Available at: https://urn.nsk.hr/urn:nbn:hr:166:540014

D. Bektešević, "Linear feature detection on SDSS images", Master's thesis, University of Split, Faculty of Science, Split, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:166:540014

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Metadata
TitleLinear feature detection on SDSS images
Title (croatian)Detekcija linearnih struktura na SDSS slikama
AuthorDino Bektešević
MentorDejan Vinković (mentor)
Committee memberDejan Vinković (predsjednik povjerenstva)
Committee memberSaša Mladenović (član povjerenstva)
Committee memberAnte Bilušić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Physics)
Split
Defense date and country2015-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
Sloan Digital Sky Survey (SDSS), covering just over 35% of the full sky, is the largest sky survey conducted. Many of the images made contain linear features that can only be explained by objects traveling at different angular velocities than the background sky. Certain number of linear features can be attributed to meteors, which makes their extraction from images scientifically interesting. In this work I present and discuss the full technical details of a software tool capable of searching through the entire SDSS imaging database for such linear features.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:166:540014
Study programmeTitle: Physics; specializations in: major in teaching, major in Astrophysics, major in Biophysics, major in Enviromental physics, major in Computational physics
Course: major in Computational physics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra fizike (magistar/magistra fizike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) icon
Public noteKljučne riječi unio urednik.
Created on2017-06-26 15:25:15