| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Postopek zaznave sprememb rabe zemljišč s časovno analizo podatkov daljinskega zaznavanja : magistrsko delo
Authors:ID Ivič, Sašo (Author)
ID Mongus, Domen (Mentor) More about this mentor... New window
Files:.pdf MAG_Ivic_Saso_2024.pdf (4,04 MB)
MD5: 92AD934E2D38510713ED60A92E81E0E1
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Daljinsko zaznavanje je pridobivanje informacij brez fizičnega stika. S pomočjo satelita Sentinel-2, lahko z odbojem elektromagnetnega valovanja pridobimo informacije o površju Zemlje. Preko platforme Copernicus Open Access Hub, ki jo upravlja Evropska vesoljska agencija, lahko brezplačno dostopamo do podatkov satelitov Copernicus od leta 2015 do danes. V magistrskem delu uporabimo satelitske posnetke satelita Sentinel-2, da strojne modele naučimo prepoznavati spremembe na površju Zemlje, v določenem časovnem obdobju. V prvem delu opišemo tehnike daljinskega zaznavanja sprememb na satelitskih slikah. V nadaljevanju opišemo naši dve metodi implementacije zaznave sprememb in ju primerjamo. Ugotovimo, da obe metodi delujeta dobro in s pomočjo modela nevronskih mrež z visoko natančnostjo zaznavata spremembe na površju.
Keywords:Zaznava sprememb, Časovna analiza, Sentinel-2, Daljinsko zaznavanje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[S. Ivič]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (IX, 42 f.))
PID:20.500.12556/DKUM-86734 New window
UDC:528.854(043.2)
COBISS.SI-ID:191526659 New window
Publication date in DKUM:01.03.2024
Views:521
Downloads:53
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:20.01.2024

Secondary language

Language:English
Title:A method for land use change detection using temporal analysis of remote sensing data
Abstract:Remote sensing is the process of obtaining information without physical ontact. Using the Sentinel 2 satellite, we can acquire information about the Earth's surface through the reflection of electromagnetic waves. Through the Copernicus Open Access Hub, managed by the European Space Agency (ESA), we can freely access data from the Copernicus satellites since year 2015 In the master's thesis, we utilize satellite imagery from the Sentinel 2 satellite to train machine models to recognize changes on the Earth's surface over a specific period. In the first section, we describe techniques for remote sensing of changes in satellite images. Afterward, we elaborate on our two approaches to implementing change detection and proceed to compare them. We find that both methods perform well, and with the assistance of a neural network model, they accurately detect surface changes.
Keywords:Detection of changes, Temporal analysis, Sentinel 2, Remote sensing


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica