prikaz prve stranice dokumenta Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije
  Download
PDF 3.72 MB
master's thesis
Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. urn:nbn:hr:119:653765
Janeš, Filip
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Aeronautics
Department of Aeronautics

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Janeš, F. (2019). Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:653765

Janeš, Filip. "Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:653765

Janeš, Filip. "Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:653765

Janeš, F. (2019). 'Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:119:653765

Janeš F. Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2019 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:119:653765

F. Janeš, "Klasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:119:653765

Metadata
TitleKlasifikacija hiperspektralnih snimaka metodom mapiranja spektralnog kuta i koeficijenta korelacije
Title (english)Classification of Hyperspectral Imagery from the Air by the Spectral Angle Mapping and Correlation Coefficient Method
AuthorFilip Janeš
MentorJurica Ivošević (mentor)
Committee memberTomislav Radišić (predsjednik povjerenstva)
Committee memberDoris Novak (član povjerenstva)
Committee memberTino Bucak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Aeronautics)
(Department of Aeronautics)
Zagreb
Defense date and country2019-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Air Traffic
Abstract
Klasifikacija snimaka ima višestruku primjenu u području daljinskog istraživanja. Hiperspektralne snimke omogućuju najpreciznije spektralne karakteristike područja istraživanja. Izvršena je klasifikacija hiperspektralnih snimaka prirodnih minerala alunita, kaolinita i kalcedona u programu TNTmips. Definirane su spektralne vrijednosti pojedinih minerala te prikazana područja podudaranja uzoraka minerala sa okolnim područjima. Uporabom metoda mapiranja spektralnog kuta i koeficijenta korelacije pokazani su približno jednaki rezultati pokrivenosti minerala na područjima interesa. Preklapanjem rezultata pojedinih metoda, klasificirana područja su određena boljom preciznošću u usporedbi sa pojedinom metodom.
Abstract (english)
Image classification has multiple applications within the field of remote sensing. Hyperspectral images enable the most precise spectral characteristics inside the field of research. The hyperspectral image classification of natural minerals alunite, kaolinite and chalcedony was performed with the program TNTmips. Spectral values of individual minerals were defined and the fields of matching mineral samples with the adjecent areas were displayed. By using the spectral angle mapping and the correlation coefficient methods, the mineral coverage inside the areas of interest displayed similar results. By overlapping the results of each method, the classified fields are defined with better precision in comparison to each method individually.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:653765
Study programmeTitle: Aeronautics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka aeronautike (magistar/magistra inženjer/inženjerka aeronautike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-11-15 12:34:18