DocumentCode :
1256762
Title :
k -Segments-Based Geometric Modeling of VLS Scan Lines
Author :
Lin, Yi ; Hyyppä, Juha
Author_Institution :
Finnish Geodetic Inst., Masala, Finland
Volume :
8
Issue :
1
fYear :
2011
Firstpage :
93
Lastpage :
97
Abstract :
A novel k-segments-based 2-D geometric modeling schematic is proposed for characterizing the scan lines of vehicle-based laser scanning (VLS) with just a few geometric primitives. VLS has been developing quickly as a new research focus recently, but the relevant data processing techniques lag behind the system establishment due to the associated huge standwise point clouds collected in a real 3-D sense. To solve this issue, the often-assumed sampling mode based on scan lines suggests an alternative frame for exploring new efficient methodologies in diverse applications. As we know, principal segments can reflect the morphological signatures of the scatter-point-represented objects, and besides, profiles comprised by various open and close outlines can be geometrically modeled by line segments and ellipses, respectively. By combining these two merits, the k-segments-based geometric modeling algorithm can be constructed, which segments and fits the center-clustered points, e.g., in crowns, into ellipses and the line-arranged points, e.g., on walls, into line segments. Eventually, the experiments based on real VLS data primarily validate this new algorithm.
Keywords :
laser beam applications; optical scanners; vehicles; VLS scan lines; k-segments-based geometric modeling; morphological signatures; scatter-point-represented objects; vehicle-based laser scanning; Clouds; Costs; Data mining; Data processing; Feature extraction; Focusing; Laser modes; Merging; Object oriented modeling; Remote sensing; Sampling methods; Scattering; Solid modeling; $k$ -segments; Geometric modeling; scan line; vehicle-based laser scanning (VLS);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2010.2051940
Filename :
5523887
Link To Document :
بازگشت