Onboard Processing of VNIR/SWIR Hyperspectral Imaging Spectrometer

This paper analyzes the characteristics of the data of the spaceborne VNIR/SWIR hyperspectral imaging spectrometer and presents a cost-effective approach for processing the hyperspectral image data on satellite.Algorithms for onboard calibration,nonuniformity correction and onboard data compression are introduced in detail.The imaging spectrometer performs onboard radiometric and spectral calibration based on the parameters gained in the laboratory on the ground.Nonuniformity correction based on both calibration and scenes are suggested in order to improve the quality of the image and 3D-tarp algorithm is used to compress the data.The design is not only effective,but also low-cost.On the condition that losing less information,it can increase SNR of the image and reduce data volumes that need to be stored on satellite and to be transfered to the ground.