Remote sensing images often need to be merged into a larger mosaic image to support analysis on large areas in many ***,the performance of the mosaic imagery may be severely restricted if there are many areas with clo...
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Remote sensing images often need to be merged into a larger mosaic image to support analysis on large areas in many ***,the performance of the mosaic imagery may be severely restricted if there are many areas with cloud coverage or if these images used for merging have a long-time ***,this paper proposes a method of image selection for fullcoverageimage(i.e.a mosaic image with no cloud-contaminated pixels)***,a novel High-Frequency-Aware(HFA)-Net based on Swin-Transformer for region quality grading is presented to provide a data basis for image *** constraints are presented to optimize the image *** the temporal dimension,the shortest-time-span constraint shortens the time span of the selected images,obviously improv-ing the timeliness of the image selection results(*** a shorter time span).In the spatial dimension,a spatial continuity constraint is proposed to select data with better quality and larger area,thus improving the radiometric continuity of the *** on the GF-1 images indicate that the proposed method reduces the averages by 76.1％and 38.7％in terms of the shortest time span compared to the Improved coverage-oriented Retrieval algorithm(MICR)and Retrieval Method based on Grid Compensation(RMGC)methods,***,the proposed method also reduces the residual cloud amount by an average of 91.2％,89.8％,and 83.4％when compared to the MICR,RMGC,and Pixel-based Time-series Synthesis Method(PTSM)methods,respectively.
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