DocumentCode :
88672
Title :
On-the-Fly Extraction of Polyhedral Buildings From Airborne LiDAR Data
Author :
Lijun Xu ; Deming Kong ; Xiaolu Li
Author_Institution :
Sch. of Instrum. Sci. & Optoelectron. Eng., Beihang Univ., Beijing, China
Volume :
11
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
1946
Lastpage :
1950
Abstract :
This letter presents an on-the-fly method for extracting polyhedral buildings from airborne light detection and ranging (LiDAR) data. By using the gridding method, the planimetric position and elevation of laser footprints (normally treated as points) in the obtained scan line are mapped into a data sequence. Then, discrete stationary wavelet transform is applied to analyze the elevation variation in the sequence. Buildings in the scan line can be obtained from the detail wavelet coefficients of the sequence. Moreover, to improve precision of the extraction, the gradients of grid points in the geometric planes of building roofs along the direction of the scan line are calculated and remedied by using the corresponding gradients acquired from the adjacent scan lines. With the proposed on-the-fly method, polyhedral buildings in the scan area can be accurately extracted from laser points along the scan lines during the scanning process. The new method is validated by using a set of real airborne LiDAR data.
Keywords :
airborne radar; buildings (structures); discrete wavelet transforms; geophysical techniques; optical radar; roofs; adjacent scan line; airborne LiDAR data; airborne light detection and ranging data; data sequence mapping; discrete stationary wavelet transform; elevation variation analysis; geometric plane; gridding method; laser footprints elevation; on-the-fly polyhedral building extraction; planimetric position; roof; scan line calculation; Buildings; Data mining; Discrete wavelet transforms; Laser radar; Manganese; Vegetation; Building extraction; light detection and ranging (LiDAR); on-the-fly data processing; remote sensing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2014.2314458
Filename :
6803863
Link To Document :
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