Seismic exploration automatic intelligent obstacle avoidance design method
A technology of intelligent obstacle avoidance and seismic exploration, applied in seismology, seismic data acquisition, geophysical measurement, etc., to achieve the effect of solving the problem of obstacle identification and classification
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Embodiment 1
[0039] Embodiment 1 (work area A):
[0040] (1) Obtain the map of feature markers within the scope of A work area (attached figure 1 ) and satellite images;
[0041] (2) Extract the obstacle information and the corresponding satellite picture pixel value in the ground feature marked map, construct the training sample library of different obstacles (extracted 1000000 groups of obstacle samples in the embodiment 1);
[0042] (3) Neural network training is carried out to the above sample library to obtain neural network model parameters;
[0043] (4) Automatically identify satellite images within the entire work area, figure 2 for the recognition result.
[0044] (5) According to the recognition result, automatic obstacle avoidance is performed on the shot point, see image 3 .
Embodiment 2
[0045] Embodiment 2 (B work area):
[0046] (1) Obtain the map of feature markers within the scope of B work area (attached Figure 4 ) and satellite images;
[0047] (2) Extract the obstacle information and the corresponding satellite picture pixel value in the ground feature marked map, construct the training sample library of different obstacles (extracted 1000000 groups of obstacle samples in embodiment 2);
[0048] (3) Neural network training is carried out to the above sample library to obtain neural network model parameters;
[0049] (4) Automatically identify satellite images within the entire work area, Figure 5 for the recognition result.
[0050] (5) According to the recognition result, automatic obstacle avoidance is performed on the shot point, see Figure 6 .
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