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.
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