Object-Space-Consistency-Based Real-Time Stabilization Approach for Luojia3-01 Video Data
Objectives:High-resolution agile optical satellites can continuously observe specific regions or targets,thereby realizing applications such as regional monitoring and target tracking.In order to obtain sta-ble and high-quality video data,continuous observation data need to be geographically corrected and stabi-lized.This process requires a large amount of calculation,but the on-board computing and storage device cannot meet the demand.Therefore,this process can only be completed afterwards by on-ground system,resulting in a significant delay in information acquisition.Methods:This paper proposes an object-space-consistency-based real-time stabilization approach for Luojia3-01 satellite video data,which is based on da-ta characteristics and computing capability of embedded on-board hardware.The proposed approach em-ploys real-time geometric positioning to extract and correct the region of interest(ROI)in real-time during satellite imaging.Additionally,it employs the consistency of geographical information in real-time align ad-jacent image frames to ensure the relative accuracy between sequence frames.On the basis,it generates a sequence of video frames of ROI with geographical encoding in real-time through the construction of a parallel pipeline of algorithms.Results:The experiments are conducted by the actualdata of Luojia3-01 satellite with the frame rate of 6 frame per second,and the proposed approach can realize the faster processing based on the embedded on-board processing hardware.Furthermore,the obtained video frame sequence with geo-graphic encoding and the inter-frame stabilized accuracy is better than 0.328 pixels.Conclusions:The pro-posed approach can meet the requirements of on-board real-time service.
video stabilizationregion of interest(ROI)extractionreal-time processingonboard processing
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