Aerial image-based method for detecting bird nest in power transmission line

Abstract

The present invention relates to an aerial image-based method for detecting a bird nest in a power transmission line. The method includes the following steps that: a picture database with annotations and labels is constructed; two deep convolutional neural networks are trained separately: an obtained data set is utilized to modify a classification network VGG16, so that two detection networks can be formed, the two detection networks are trained separately, so that a bird nest roughly selected neural network and a bird nest finely selected neural network are obtained, the roughly selected neural network can obtain a bird nest roughly selected region through using a window sliding method in a feature graph, and the roughly selected region is utilized to train the bird nest finely selected neural network, and therefore, an optimal bird nest region can be obtained; and cross-training and fine-tuning are performed on the networks so as to construct a detection model: a cross-training method is adopted to re-train the obtained roughly selected neural network and finely selected neural network, so that the two networks can share the parameters of the first 13 convolutional layers, and the two networks are combined into an end-to-end convolutional neural network, so that the bird nest detection model can be constructed.

Description

technical field [0001] The invention belongs to the field of object detection, and relates to a method for detecting a bird's nest in an aerial image of a power transmission line by using a deep convolutional neural network. Background technique [0002] Transmission lines play a very important role in the power system and are directly related to the electricity consumption of thousands of households. Large-scale power outages will bring immeasurable losses to the national economy. Therefore, the safety of transmission lines is one of the issues of great concern to the power sector [1] . The natural activities of birds often interfere with the normal operation of transmission lines. For example, birds often nest on transmission line towers, and the falling of their nest materials can easily cause short circuits around the towers. [0003] Therefore, in order to ensure the safe and reliable operation of the power grid, it is necessary to control the nesting of birds on the ...

AI Technical Summary

Problems solved by technology

The shape of the bird's nest is often related to its location. There are irregular hemispheres and cubes, etc. Existing machine learning algorithms, template matching, feature matching and other methods cannot effectively detect bird's nests

Images