Airport scene target segmentation method and system
An airport scene and object segmentation technology, applied in the field of deep learning, can solve the problems of slow airport scene design, achieve the effect of improving accuracy, efficient extraction, and improving efficiency
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[0049] The technical scheme that the present invention solves the problems of the technologies described above is as follows:
[0050] The present invention provides a method for segmenting an airport scene target, referring to figure 1 Shown, described airport scene object segmentation method comprises:
[0051] S1: Multi-scale feature extraction for airport scene surveillance images;
[0052] S2: According to the multi-scale features, obtain a location-spatial attention model diagram;
[0053] S3: Decoding the spatial attention model diagram to obtain the airport scene monitoring image segmentation result;
[0054] S4: Comparing the segmentation result of the airport scene monitoring image with the airport scene monitoring image to obtain a comparison result;
[0055] S5: Perform loss calculation according to the comparison results, and select an optimal result from the loss calculation results;
[0056] S6: Carry out airport scene object segmentation according to the op...
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