A hidden danger identification method, device and equipment for a power transmission line corridor area

Abstract

The present application relates to the field of satellite image target intelligent identification, and particularly relates to a hidden danger identification method, device and equipment for a power transmission line corridor area, the method comprising: acquiring satellite images containing the power transmission line corridor area; establishing a semantic segmentation model comprising a backbone network and a context feature fusion module; optimizing the semantic segmentation model using an optimization loss function to obtain an optimized semantic segmentation model; inputting the satellite images into the optimized semantic segmentation model to generate a hidden danger identification result. It can be understood that the technical solution provided by the present application reduces the trainable parameters of the backbone network of the semantic segmentation model, improves the running speed of the model, the context feature fusion module improves the feature extraction capability of the model, the model is optimized using the optimization loss function, the class imbalance problem is solved, the generalization capability of the model is improved, and the model can be used for hidden danger identification in the power transmission line corridor area.

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