Processing LIDAR Data with Apache Hadoop

被引：2

作者：

Ruzicka, Jan ^{[1
]}

Orcik, Lukas ^{[2
]}

Ruzickova, Katerina ^{[1
]}

Kisztner, Juraj ^{[3
]}

机构：

[1] VSB Tech Univ Ostrava, Fac Min & Geol, Inst Geoinformat, 17 Listopadu 15-2172, Ostrava 70833, Czech Republic

[2] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Dept Telecommun, 17 Listopadu 15, Ostrava 70833, Czech Republic

[3] VSB Tech Univ Ostrava, Inst Geol Engn, 17 Listopadu 15, Ostrava 70833, Czech Republic

来源：

RISE OF BIG SPATIAL DATA | 2017年

关键词：

LIDAR; MapReduce; GRID; Apache Hadoop; Cloudera;

D O I：

10.1007/978-3-319-45123-7_25

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

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.

引用

页码：351 / 358

页数：8

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