
Proceedings Paper
Study on blimp-based low-cost remote sensing platformFormat | Member Price | Non-Member Price |
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Paper Abstract
The space-born and airborne platforms are major means to acquire the earth surface information. However, the airborne
and spaceborne are sometime limited in some special cases such as military area, federal agencies. For this reason, this
paper presents study on a blimp-based low altitude remote sensing platform, which has the characters of stability and
safety and is easy to operate and control. The details of the hardware configuration and work flow are first described, and
some key techniques including calibration, synchronization and aerial triangulation bundle adjustment are emphasized.
In this system, low accuracy digital compass is used due to the limitation of blimp payload and cost. With the simulated
study and real data analysis demonstrates that under the current hardware specification, the accuracy of 3D object
coordinates can reach better than 0.5 m. Moreover, this system can reach equality with the airborne platform with less or
without ground control points (GCPs).
Paper Details
Date Published: 3 November 2008
PDF: 9 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452Q (3 November 2008); doi: 10.1117/12.813082
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
PDF: 9 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452Q (3 November 2008); doi: 10.1117/12.813082
Show Author Affiliations
Wuming Zhang, Beijing Normal Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Xinping Guo, Beijing Normal Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Xinping Guo, Beijing Normal Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Guoqing Zhou, Beijing Normal Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Guangjian Yan, Beijing Normal Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Guangjian Yan, Beijing Normal Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
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