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Title:STISKANJE PODATKOV LIDAR
Authors:ID Kocmut, Marko (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Podgorelec, David (Comentor)
Files:.pdf UNI_Kocmut_Marko_2009.pdf (1,78 MB)
MD5: 112EAF498CFC1BCAC2C33A4543B23E9A
PID: 20.500.12556/dkum/9474e19e-75ad-46a8-826f-9da0dd2cf84b
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen diplomske naloge sta razvoj in implementacija algoritma stiskanja podatkov LIDAR (angl. Light Detection and Ranging), ki so shranjeni v datotekah LAS. V diplomskem delu podrobneje opišemo strukturo datoteke LAS. V drugem delu kratko predstavimo namen stiskanja podatkov in v grobem opišemo različne vrste algoritmov. Podrobneje opišemo idejo aritmetičnega kodiranja ter Huffmanovega kodiranja. V implementiranem algoritmu uporabimo aritmetično kodiranje, zato predstavimo konkreten način implementacije le-tega. V zadnjem delu predstavimo razviti algoritem in ga primerjamo z nekaterimi brezplačnimi in plačljivimi univerzalnimi algoritmi za stiskanje podatkov.
Keywords:LIDAR, stiskanje podatkov, algoritmi stiskanja, aritmetično kodiranje, Huffmanovo kodiranje
Place of publishing:Maribor
Publisher:[M. Kocmut]
Year of publishing:2009
PID:20.500.12556/DKUM-11935 New window
UDC:004.627.012(043.2)
COBISS.SI-ID:13711638 New window
NUK URN:URN:SI:UM:DK:5E2RKLFW
Publication date in DKUM:25.09.2009
Views:3225
Downloads:465
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:LIDAR DATA COMPRESION
Abstract:The purpose of this diploma work is to develop an algorithm for compressing LIDAR (Light Detection and Ranging) data, which are saved in LAS files. Firstly, we discuss in details the structure and meaning of each part of the LAS file. In the continuation we examine why data can be compressed and which algorithms can be applied. These algorithms are then briefly considered. Huffman and arithmetic coding are explained in details. Arithmetic coding is used in our compression algorithm, which concrete implementation is presented. At the end, we compare the developed algorithm with other software for data compression.
Keywords:LIDAR, data compression, compression algorithms, arithmetic coding, Huffman coding


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