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Title:
ISKANJE NEPOKRITIH DELOV TERENA V PODATKIH LiDAR
Authors:
ID
Osojnik, Monika
(Author)
ID
Žalik, Borut
(Mentor)
More about this mentor...
Files:
VS_Osojnik_Monika_2013.pdf
(12,08 MB)
MD5: 00BEEF8F72231C447103C2AD297518AC
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
LiDAR je sodobna tehnologija daljinskega zaznavanja, ki s pomočjo laserske svetlobe omogoča hitro in natančno zajemanje podatkov o zemeljskem površju in objektih na njem. Zaradi slabe odbojnosti svetlobe na vodnih področjih in zaradi ovir, ki zakrivajo okolico, sistemi LiDAR pogosto ne zajamejo celovite slike površja. Zaradi kasnejših prostorskih analiz, temelječih na podatkih LiDAR, je smiselno takšne dele v podatkih LiDAR pravočasno odkriti in odpraviti. V tem diplomskem delu predstavljamo učinkovito metodo za zaznavo nepokritih delov površja v podatkih LiDAR. Vhodne točke LiDAR najprej razporedimo v mrežo enakomernih celic. V tej mreži določimo celice, ki ne vsebujejo nobene točke (prazne celice) in jih povežemo v regije. Vektorsko predstavitev nepokritih predelov površja dosežemo tako, da celice regij povežemo v mnogokotnik. Učinkovitost predstavljene metode dokažemo z eksperimenti.
Keywords:
LiDAR
,
računalniška geometrija
,
algoritem polnjenja regij
Place of publishing:
Maribor
Publisher:
[M. Osojnik]
Year of publishing:
2013
PID:
20.500.12556/DKUM-40817
UDC:
004.924(043.2)
COBISS.SI-ID:
17101846
NUK URN:
URN:SI:UM:DK:LECCECPO
Publication date in DKUM:
28.06.2013
Views:
1510
Downloads:
149
Metadata:
Categories:
KTFMB - FERI
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:
OSOJNIK, Monika, 2013,
ISKANJE NEPOKRITIH DELOV TERENA V PODATKIH LiDAR
[online]. Bachelor’s thesis. Maribor : M. Osojnik. [Accessed 27 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=40817
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Secondary language
Language:
English
Title:
DETERMINATION OF UNCOVERED TERRAIN PARTS IN LiDAR DATA
Abstract:
LiDAR is an advance tehnology of a remote sensing, which allows fast and accurate acquisition of the data from the Earth's surface with the help of a laser beam. The laser beam reflects poorly from the areas covered with water. Also, various obstacles may hide some parts of the terrain. Because of this LiDAR systems often do not gather the whole parts of the terrain. Such LiDAR data sets may cause errors in later spatial analyses and therefore, it is important to detect and eliminate such uncovered parts of the terrain. This thesis introduces an efficient method for detection of uncovered areas in LiDAR point-clouds. For this purpose, we arrange the LiDAR points in a regular grid of equally-sized cells. In this grid, we recognize the cells with no points (empty cells) and merge them in connected regions. To achieve the vector presentation of the uncovered parts of the surface, polygons are constructed from connected regions. The experiments confirms the effectiveness of the presented method.
Keywords:
LiDAR
,
computational geometry
,
flood-fill algorithm
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