Automatic transmission tower scanning method based on hovering state of aircraft
A technology of power transmission towers and scanning methods, which is applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of large influence, manual design features, etc., and achieve the effect of improving imaging quality and realizing high-definition imaging
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[0037] Example: such as Figure 1-Figure 3As shown, an autonomous scanning method for power transmission towers based on the hovering state of the aircraft includes the following steps:
[0038] The first step, offline deep learning: For the original image with labels, the training of the tower recognition model and the multi-target detection model are carried out respectively. Both trainings use a deep convolutional neural network. The image data of labels and background labels, the input data for multi-target detection model training is image data with various power component labels and background labels;
[0039] The second step, online autonomous scanning: Obtain the tower identification model through step 2), combine the tower area and the tower POS information, and obtain the autonomous scanning route of the transmission tower under manual intervention;
[0040] The third step, online automatic high-definition imaging: through step 2), the multi-target recognition model...
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