Developing unmanned airship onboard multispectral imagery system for quick-response to drinking water pollution

Zhigang Liu; Jun Wu; Haisheng Yang

doi:10.1117/12.833451

30 October 2009 Developing unmanned airship onboard multispectral imagery system for quick-response to drinking water pollution

Zhigang Liu, Jun Wu, Haisheng Yang

Author Affiliations +

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74940L (2009) https://doi.org/10.1117/12.833451
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Zhigang Liu, Jun Wu, and Haisheng Yang "Developing unmanned airship onboard multispectral imagery system for quick-response to drinking water pollution", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940L (30 October 2009); https://doi.org/10.1117/12.833451

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