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Naslov:Detection of planar points for building extraction from LiDAR data based on differential morphological and attribute profiles
Avtorji:ID Mongus, Domen (Avtor)
ID Lukač, Niko (Avtor)
ID Obrul, Denis (Avtor)
ID Žalik, Borut (Avtor)
Datoteke:.pdf ISPRS_Annals_of_the_Photogrammetry,_Remote_Sensing_and_Spatial_Information_Sciences_2013_Mongus_et_al._Detection_of_Plana.pdf (2,85 MB)
MD5: 76DDB6546B5791313299D079539D8858
 
URL https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W1/21/2013/
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:This paper considers a new method for building-extraction from LiDAR data. This method uses multi-scale levelling schema or MSLS-segmentation based on differential morphological profiles for removing non-building points from LiDAR data during the data denoising step. A new morphological algorithm is proposed for the detection of flat regions and obtaining a set of building-candidates. This binarisation step is made by using differential attribute profiles based on the sum of the second-order morphological gradients. Any distinction between flat and rough surfaces is achieved by area-opening, as applied within each attribute-zone. Thus, the detection of the flat regions is essentially based on the average gradient contained withina region, whilst avoiding subtractive filtering rule. Finally, the shapes of the flat-regions are considered during the building-recognition step. A binary shape-compactness attribute opening is used for this purpose. The efficiency of the proposed method was demonstrated on three test LiDAR datasets containing buildings of different sizes, shapes, and structures. As shown by the experiments, the average quality of the buildings-extraction was more than 95%, with 96%correctness, and 98%completeness. In terms of quality, this method is comparable with TerraScan R , but both methods significantly differ when comparing correctness and completeness of the results.
Ključne besede:LiDAR, mathematical morphology, segmentation, DAP, DMP, building extraction
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2013
Št. strani:str. 21-26
Številčenje:Letn. II-3/W1
PID:20.500.12556/DKUM-50439 Novo okno
ISSN:2194-9042
UDK:004.92:004.932
COBISS.SI-ID:17007638 Novo okno
ISSN pri članku:2194-9042
NUK URN:URN:SI:UM:DK:DGSLHEJZ
Datum objave v DKUM:10.07.2015
Število ogledov:1527
Število prenosov:424
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
MONGUS, Domen, LUKAČ, Niko, OBRUL, Denis in ŽALIK, Borut, 2013, Detection of planar points for building extraction from LiDAR data based on differential morphological and attribute profiles. V : VCM 2013 – The ISPRS Workshop on 3D Virtual City Modeling [na spletu]. Objavljeni znanstveni prispevek na konferenci. 2013. p. 21–26. [Dostopano 4 april 2025]. Pridobljeno s: https://dk.um.si/IzpisGradiva.php?lang=slv&id=50439
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Gradivo je del zbornika

Naslov:VCM 2013 – The ISPRS Workshop on 3D Virtual City Modeling
Uredniki:G. Sohn, F. Rottensteiner, J. D. Wegner
COBISS.SI-ID:16960022 Novo okno

Gradivo je del revije

Naslov:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Skrajšan naslov:ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
Založnik:Copernicus Publications
ISSN:2194-9042

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:L2-3650
Naslov:Obdelava velikih količin geometrijskih podatkov LIDAR

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:10.07.2015

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:LiDAR, matematična morfologija, segmentacija, DAP, DMP, ekstrakcija stavb


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