Processing UAV Based RGB Data to Identify Land Cover with Focus on Small Water Body: Comparison of Methods

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Processing UAV Based RGB Data to Identify Land Cover with Focus on Small Water Body: Comparison of Methods

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Processing UAV Based RGB Data to Identify Land Cover with Focus on Small Water Body: Comparison of Methods

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Iberian Conference on Information Systems and Technologies, CISTI , volume 2020-June

ISBN

978-989-54-6590-3

ISSN

2166-0727

e-ISSN

—

Počet stran výsledku

6

Strana od-do

9141170

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Sevilla

Datum konání akce

24. 6. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000612720600366