• Infrared and Laser Engineering
  • Vol. 50, Issue 9, 20200529 (2021)
Guang Yue, Wenbang Sun*, Xingming Zhang, and Tongshao Li
Author Affiliations
  • College of Aviation Combat Service, Air Force Aviation University, Changchun 130022, China
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    DOI: 10.3788/IRLA20200529 Cite this Article
    Guang Yue, Wenbang Sun, Xingming Zhang, Tongshao Li. Accumulated error elimination method of aerial array image stitching[J]. Infrared and Laser Engineering, 2021, 50(9): 20200529 Copy Citation Text show less
    Error accumulation
    Fig. 1. Error accumulation
    Schematic diagram of ground projection
    Fig. 2. Schematic diagram of ground projection
    Determine the position of the projection point
    Fig. 3. Determine the position of the projection point
    Determine the position of the ground nadir point
    Fig. 4. Determine the position of the ground nadir point
    Error accumulation of traditional fine-tuning
    Fig. 5. Error accumulation of traditional fine-tuning
    Image coordinate adjustment diagram
    Fig. 6. Image coordinate adjustment diagram
    Determine feature point misalignment error value
    Fig. 7. Determine feature point misalignment error value
    Coordinate adjustment flow chart
    Fig. 8. Coordinate adjustment flow chart
    Experimental images
    Fig. 9. Experimental images
    Comparison of experimental results. (a) Proposed experimental results; (b) Literature [3] experimental results
    Fig. 10. Comparison of experimental results. (a) Proposed experimental results; (b) Literature [3] experimental results
    Experimental details contrast images. (a) Proposed experimental details; (b) Literature [13] experimental results; (c) Detailed comparison
    Fig. 11. Experimental details contrast images. (a) Proposed experimental details; (b) Literature [13] experimental results; (c) Detailed comparison
    Experimental details contrast images. (a) Proposed experimental details; (b) Traditional fine-tuning experiment details; (c) Detailed comparison
    Fig. 12. Experimental details contrast images. (a) Proposed experimental details; (b) Traditional fine-tuning experiment details; (c) Detailed comparison
    LevelQuality guidelinesObstruction criterion
    5First-classNo picture quality deterioration
    4WellYou can feel the image quality has deteriorated, but it does not hinder viewing
    3AverageIt is clear that the image quality has deteriorated, which will slightly hinder viewing
    2LowObstruct viewing
    1Very poorVery seriously obstructing viewing
    Table 1. Subjective evaluation criteria
    Pitch angle/(°)Roll angle/(°)Heading angle/(°)Height/mLongitude/(°)Latitude/(°)
    3.010.11112.6900147587.389742.0944
    2.890.00112.7697147587.395842.0936
    2.900.14112.4597147587.399442.0927
    3.070.22112.5400147587.403042.0919
    3.160.02112.5597147487.406942.0911
    2.870.31112.4800147587.410542.0900
    3.130.39112.4800147487.414142.0891
    3.100.15112.7600147487.417742.0883
    3.210.13112.9400147487.421342.0875
    Table 2. Attitude parameters
    ImagesSSIM evaluation
    Literature [3] 0.8790
    Literature [13] 0.9001
    Traditional fine-tuning0.9121
    Proposed algorithm0.9201
    Table 3. SSIM evaluation
    Guang Yue, Wenbang Sun, Xingming Zhang, Tongshao Li. Accumulated error elimination method of aerial array image stitching[J]. Infrared and Laser Engineering, 2021, 50(9): 20200529
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