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Proceedings Paper

Acquisition of UAV images and the application in 3D city modeling
Author(s): Jizhou Wang; Chengming Li
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Paper Abstract

High-resolution remote sensing images are the most important information sources for the 3D digital city. The general remote sensing techniques by satellite and aircraft can get the geographic information of large area, but there are some limitations in detail information acquisition. In the paper, we design an implement a new remote sensing means by UAV( Unmanned Air Vehicle). UAV is a new platform of Remote Sensing which is navigated by the telecontrol device. The system we developed named UAV-II, which has integrated the RS and UAV technology. The system comprises of RS device, RS platform and tele-controlling system. RS device is used to acquire photos, and we installed three CCD digital cameras on UAV-II in order to get wide-angle images. The platform is the carrier of RS device which is made mainly of glass fibre reinforced plastic. The tele-controlling system is used to control the flying state and all devices working normally. From tests of UAV images acquired from various shooting conditions, we draw the conclusion that 45° and 300 meter are the ideal shooting angle and height to get the most abundant information. After the images acquisition, we can extract geometry and texture information from UAV images by photogrammetry. Different from the traditional photogrammetry which needs stereo-mate, we developed a monoscopic photogrammetry method which only need a single photo. Using all the information we acquired from UAV images, we can reconstruct 3D models of the city.

Paper Details

Date Published: 5 March 2008
PDF: 11 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230Z (5 March 2008); doi: 10.1117/12.791426
Show Author Affiliations
Jizhou Wang, Chinese Academy of Surveying and Mapping (China)
Chengming Li, Chinese Academy of Surveying and Mapping (China)

Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing
Liwei Zhou, Editor(s)

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