Processing UAV Based RGB Data to Identify Land Cover with Focus on Small Water Body: Comparison of Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916422" target="_blank" >RIV/00216275:25410/20:39916422 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9141170" target="_blank" >https://ieeexplore.ieee.org/document/9141170</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/CISTI49556.2020.9141170" target="_blank" >10.23919/CISTI49556.2020.9141170</a>
Alternative languages
Result language
angličtina
Original language name
Processing UAV Based RGB Data to Identify Land Cover with Focus on Small Water Body: Comparison of Methods
Original language description
Multispectral satellite imagery is frequently used to land cover identification. The higher spatial and temporal resolution may be needed to observe small features located on the Earth surface. It leads to the necessity of lower elevation data collected on demand. Airborne or UAV imagery meets these requirements. A middle- or low-class unmanned aerial vehicle (UAV) carrying a common RGB camera can be used to collect data suitable for identification of key land cover types. UAV is used as a source of data with a very high spatial resolution collected on demand. This solution is suitable for smaller areas and it is limited by legal regulations and weather conditions. The paper is focused on land cover identification near a small water body by various methods: Unsupervised classification, supervised classification, and vegetation (spectral RGB) indices. In the end, the used methods are compared.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Iberian Conference on Information Systems and Technologies, CISTI , volume 2020-June
ISBN
978-989-54-6590-3
ISSN
2166-0727
e-ISSN
—
Number of pages
6
Pages from-to
9141170
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Sevilla
Event date
Jun 24, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000612720600366