Processing lidar data with apache hadoop

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10236719" target="_blank" >RIV/61989100:27240/17:10236719 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27350/17:10236719 RIV/61989100:27740/17:10236719

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-45123-7_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-45123-7_25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45123-7_25" target="_blank" >10.1007/978-3-319-45123-7_25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Processing lidar data with apache hadoop

Popis výsledku v původním jazyce

The paper is focused on research in the area of processing LIDAR data with Apache Hadoop. Our team is managing an information system that is able to calculate probability of existence of different objects in space and time. The system works with a lot of different data sources, including large datasets. We may process LIDAR data in the future as well, so we were interested how to process LIDAR data with Apache Hadoop. Our colleagues from the institute of geology are using LIDAR data and have a lot of problems with their processing. The main problem is time that is necessary to process the data to build simple DEM in GRID format that is commonly used in the geology (geomorphology) area. We were interested if we could help them with processing such kind of data with MapReduce architecture on Apache Hadoop to produce GRID data suitable to their needs. The paper presents results of our research. © Springer International Publishing AG 2017.

Název v anglickém jazyce

Processing lidar data with apache hadoop

Popis výsledku anglicky

The paper is focused on research in the area of processing LIDAR data with Apache Hadoop. Our team is managing an information system that is able to calculate probability of existence of different objects in space and time. The system works with a lot of different data sources, including large datasets. We may process LIDAR data in the future as well, so we were interested how to process LIDAR data with Apache Hadoop. Our colleagues from the institute of geology are using LIDAR data and have a lot of problems with their processing. The main problem is time that is necessary to process the data to build simple DEM in GRID format that is commonly used in the geology (geomorphology) area. We were interested if we could help them with processing such kind of data with MapReduce architecture on Apache Hadoop to produce GRID data suitable to their needs. The paper presents results of our research. © Springer International Publishing AG 2017.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/TB0500MD011" target="_blank" >TB0500MD011: Specifický způsob odbavení cestujících a počet přepravených cestujících</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Geoinformation and Cartography. Volume F3

ISBN

978-3-319-45122-0

ISSN

1863-2246

e-ISSN

1863-2351

Počet stran výsledku

8

Strana od-do

351-358

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Ostrava

Datum konání akce

16. 3. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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