Processing lidar data with apache hadoop
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989100:27350/17:10236719 RIV/61989100:27740/17:10236719
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Processing lidar data with apache hadoop
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/TB0500MD011" target="_blank" >TB0500MD011: Specific method of check-in and number of passengers</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Geoinformation and Cartography. Volume F3
ISBN
978-3-319-45122-0
ISSN
1863-2246
e-ISSN
1863-2351
Number of pages
8
Pages from-to
351-358
Publisher name
Springer
Place of publication
Cham
Event location
Ostrava
Event date
Mar 16, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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