Classification and identification method for low, slow small targets

Abstract

A disclosed classification and identification method for low, slow and small targets is accurate in identification and short in identification time. The method is realized through the following technical scheme: different target track data is taken as a training sample of a data preprocessing module based on a PPI image formed by an original trace point; the data preprocessing module performs dataprediction and preprocessing on an obtained track-related plot data rule, generates a training set, constructs a deep learning network model and a network optimization module which sequentially adopta deep convolutional network DCNN and a long short-term memory network LSTM, extracts two groups of features from framing data, performs splicing to obtain joint features, and performs deep learning;image recognition target track data is input into a weighting calculation module in real time, model compression and acceleration are conducted on a trained network model structure, model compressionacceleration is achieved through weighting calculation and model pruning, depth features needed by accurate classification are achieved, and accurate recognition of classification and recognition ofsmall birds and unmanned aerial vehicles is completed.

Description

technical field [0001] The invention relates to radar detection and recognition technology for targets such as birds and unmanned aerial vehicles, and mainly relates to a classification and recognition method for "low, slow and small" targets whose flying height is below 1000 meters. Especially when the low-altitude low-power search radar detects small targets, it is a method for classifying and identifying the detected small birds and small UAVs. [0002] technical background [0003] The target characteristics and flight characteristics of birds are similar to small UAVs, and they belong to the "low, small and slow" category of targets, which will interfere with the recognition of small UAV targets. Low-slow and small targets, the full name of which is "low-altitude, slow-speed, and small-flying targets", has low observability, and the effective monitoring and identification of the two has become an urgent problem to be solved in order to ensure the safety of air routes and...

AI Technical Summary

Problems solved by technology

But there will be problems in doing so. For the first method, the cut data will lead to the loss of some hidden information; and in the second method, the simple replication formed by the sampling with replacement will make the model produce too much fit

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