Herein,the Shuangqing-1(Luojia3-01)multimode imaging sample dataset is presented to address the problem of limited data types provided for user services by remote sensing satellites with the highest resolution.This dataset includes various imaging modes,such as push-scan,array push-frame,and video staring;hence,it covers typical data samples from different target areas,such as urban regions,water bodies,mountainous regions,and airports.The construction of this dataset involves signal data decoding,Bayer interpolation,relative radiometric correction,geometric positioning,video stabilization,and three-dimensional reconstruction.Additionally,in-depth discussions and investigations are conducted on key algorithms,such as on-orbit calibration,rapid production of area of interest products,high-definition video geometric stabilization,and multi-angle three-dimensional reconstruction.Finally,the sample dataset is visually displayed and quantitatively evaluated from three aspects:image standard,video staring,and real-world three-dimensional products.
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