A New Automatic On-Board Multispectral Image Compression System for Leo Earth Observation Satellites

This paper has proposed an automatic onboard multispectral image compression system, for LEO Earth Observation satellites. This system has combined tiling, sub-pixel band registration, radiometric calibration, and multispectral image compression, to achieve automatic on-board image processing requirement. Two radiometric calibration methods are compared, and brightness difference compensation (BDC) is preferred. A new robust band registration technique, which is gradient image based phase correlation (GradPC), is proposed. Experimental work based on natural satellite test images is given and results validate the system design.