DocumentCode
3512383
Title
Application Research of Constructing Large-Scale 3D Building Models Based on ADS40 Images
Author
Li, Ming ; Hu, Fen ; Xu, Miaozhong ; Zhu, Yixuan
Author_Institution
State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan
fYear
2008
fDate
1-3 Nov. 2008
Firstpage
499
Lastpage
502
Abstract
ADS40 from Leica Geosystems is a new-type airborne digital camera. Nowadays, it has aggregated worldwide focus in application fields of aerial photogrammetry and remote sensing with its distinct works in interpreting and mapping of comprehensive ground surface conditions. So far, although a systematic technical routine for reconstruction of large-scale 3D building models with solutions of photogrammetry has gradually formed, it is still the frame-based center-projective image which is the leading data source. The application of ADS40 images in constructing large-scale 3D building models has been discussed in this paper with a recent case study.The constructed 3D building models have achieved the expected geometric accuracy. Compared with the traditional frame-based image data, the ADS40 image strips effectively avoid the model-adjoining work with the other flight lines and it keeping the consistency of accuracy very well. The detail workflow is also described in this paper, as well as several key practical problems.
Keywords
image reconstruction; photogrammetry; ADS40 images; Leica Geosystems; aerial photogrammetry; airborne digital camera; frame-based center-projective image; large-scale 3D building models; model-adjoining work; remote sensing; Buildings; Data mining; Feature extraction; Image reconstruction; Intelligent networks; Large-scale systems; Remote sensing; Software measurement; Solid modeling; Strips; 3D Building Models; ADS40 Images; Application;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3391-9
Electronic_ISBN
978-0-7695-3391-9
Type
conf
DOI
10.1109/ICINIS.2008.123
Filename
4683273
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