  Most raw data download from satellites are useless, resulting in transmission
waste, one solution is to process data directly on satellites, then only
transmit the processed results to the ground. Image processing is the main data
processing on satellites, in this paper, we focus on image denoising which is
the basic image processing. There are many high-performance denoising
approaches at present, however, most of them rely on advanced computing
resources or rich images on the ground. Considering the limited computing
resources of satellites and the characteristics of remote sensing images, we do
some research on these high-performance ground image denoising approaches and
compare them in simulation experiments to analyze whether they are suitable for
satellites. According to the analysis results, we propose two feasible image
denoising strategies for satellites based on satellite TianZhi-1.
