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master's thesis
Pregled metoda i tehnika klasifikacija multispektralnih snimaka
Zagreb: University of Zagreb, Faculty of Science, 2022. urn:nbn:hr:217:775040
Puljić, Mateo
University of Zagreb
Faculty of Science
Department of Geography

Institutional repository: Repository of the Faculty of Science

Cite this document

Puljić, M. (2022). Pregled metoda i tehnika klasifikacija multispektralnih snimaka (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:775040

Puljić, Mateo. "Pregled metoda i tehnika klasifikacija multispektralnih snimaka." Master's thesis, University of Zagreb, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:217:775040

Puljić, Mateo. "Pregled metoda i tehnika klasifikacija multispektralnih snimaka." Master's thesis, University of Zagreb, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:217:775040

Puljić, M. (2022). 'Pregled metoda i tehnika klasifikacija multispektralnih snimaka', Master's thesis, University of Zagreb, Faculty of Science, accessed 29 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:775040

Puljić M. Pregled metoda i tehnika klasifikacija multispektralnih snimaka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2022 [cited 2024 December 29] Available at: https://urn.nsk.hr/urn:nbn:hr:217:775040

M. Puljić, "Pregled metoda i tehnika klasifikacija multispektralnih snimaka", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:217:775040

Metadata
TitlePregled metoda i tehnika klasifikacija multispektralnih snimaka
Title (english)A review of multispectral image classification methods and techniques
AuthorMateo Puljić
MentorLuka Valožić (mentor)
Committee memberLuka Valožić (predsjednik povjerenstva)
Committee memberZoran Stiperski (član povjerenstva)
Committee memberMladen Maradin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Geography)
Zagreb
Defense date and country2022-04-22, Croatia
Scientific / art field,
discipline and subdiscipline		INTERDISCIPLINARY AREAS OF KNOWLEDGE
Geography
Abstract
Klasifikacija snimaka s daljinskog mjerenja ključna je karika pri obradi. Klasifikacijom se snimci daljinskog mjerenja pretvaraju u klasificirane značajke koje računala s dubokim aplikacijama mogu razumjeti i obraditi. Međutim, tradicionalne metode klasifikacije snimaka daljinskim mjerenjima ne zadovoljavaju stvarne zahtjeve. Posljednjih godina, brzi razvoj teorije i računala pružio je tehnički pristup za rješavanje klasifikacije snimaka. U posljednjih pedeset godina razvijene su različite tehnike prepoznavanja uzoraka za klasifikaciju terena i zemljine površine pomoću multispektralnih slika. Svrha ovog rada je pregledati i ocijeniti dostupne metode i tehnike za obradu i klasifikaciju objekata (prostornih fenomena) zabilježenih na multispektralnim snimkama prikupljenim daljinskim istraživanjima kroz pregled dosadašnjih istraživanja na ovu temu.
Abstract (english)
Classification of remote sensing images is a key link in processing. By classification, remote sensing images are transformed into classified features that computers with deep applications can understand and process. However, traditional methods of classifying images by remote measurements do not meet the actual requirements. In recent years, the rapid development of theory and computers has provided a technical approach to solving the classification of images. In the last fifty years, various pattern recognition techniques have been developed to classify terrain and land surface using multi-spectral images. The purpose of this paper is to review and evaluate the available methods and techniques for processing and classification of objects (spatial phenomena) recorded on multispectral images collected by remote sensing through a review of previous research on this topic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:775040
Study programmeTitle: Geography; specializations in: Physical Geography with Geoecology, Spatial Planning and Regional Development, Heritage and Tourism, Geographic Information Systems, Course research
Course: Physical Geography with Geoecology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra geografije (magistar/magistra geografije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-07-28 09:24:40