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Proceedings Paper

Developing unmanned airship onboard multispectral imagery system for quick-response to drinking water pollution
Author(s): Zhigang Liu; Jun Wu; Haisheng Yang
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Paper Abstract

Satellite multispectral imageries are usually limited in low space resolution, long revisit cycle or high cost. This paper presents our ongoing research on developing cost-effective unmanned airship on board Multispectral imagery system to acquire high-resolution multispectral imagery for quick-response to drinking water pollution issues. First, the overall architecture of developed system is described. After that, system integration including CCD cameras coupling, GPS/INS synchronization, stabilize platform control and wireless communication are discussed in detail. Next, system calibration is implemented in radiance and geometry respectively. An adaptive calibration method is developed to obtain absolute radiance and classic homography principle is employed to relate CCD cameras with each other geometrically. Finally, flight experiments are implemented to acquire high-resolution multispectral imageries along river and imageries are deliberately calibrated for the estimation of water quality. Conclusions are also conducted as well.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940L (30 October 2009); doi: 10.1117/12.833451
Show Author Affiliations
Zhigang Liu, Beijing Normal Univ. (China)
Beijing Key Lab. for Remote Sensing of Environment and Digital Cities (China)
Jun Wu, Guilin Univ. of Electronic Technology (China)
Haisheng Yang, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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