Target identification method, system and device based on multivariate information fusion and medium

Abstract

The invention provides a target identification method, system and device based on multivariate information fusion and a medium. Acquiring real-time three-dimensional geographic coordinates of the ship and converting the real-time three-dimensional geographic coordinates into a real two-dimensional image point Acquiring a real-time two-dimensional image of the ship to form a two-dimensional image point matrix; acquiring real-time laser three-dimensional geographic coordinates of the ship and converting the real-time laser three-dimensional geographic coordinates into a laser two-dimensional image point Fusing the laser two-dimensional image point matrix with the two-dimensional image point matrix to obtain a fused image with the fused two-dimensional image point matrix, and calculating the overlap ratio of the fused image and the real two-dimensional image; and for the fused image of which the overlap ratio is greater than or equal to 80% of the overlap ratio threshold, iterative optimization is carried out by adopting a convolutional neural network, and a target frame required for positioning and identifying a target in the fused image is determined. The target information obtained by fusing the multi-sensor data is more comprehensive, the detection precision of the ship can be improved, the detection range can be expanded, and more comprehensive information can be provided for maintaining ocean rights and interests.

Description

technical field [0001] The invention belongs to the technical field of target recognition, and in particular relates to a target recognition method, system, device and medium based on multivariate information fusion. Background technique [0002] The ship's automatic identification system (AIS) can provide relevant information about cooperative ship targets in the monitoring area, and can understand the identity information of ship targets based on AIS data. However, AIS is a passive sensor and cannot detect non-cooperative ship targets at sea. [0003] Synthetic Aperture Radar (SAR) has high resolution and strong maneuverability, and can accurately detect the position of ship targets on the ocean. SAR can also detect all ship targets in the monitoring area, but it cannot provide the identity information of ship targets. SAR is an active microwave imaging radar that can provide high-resolution images. It has all-day and all-weather detection characteristics and can monitor...

AI Technical Summary

Problems solved by technology

[0005] Although the sensors used in the three kinds of ship target monitoring have their own characteristics, using one target sensor alone will result in a single source of sampling data, which will lead to inaccurate target tracking and monitoring

Although there are some multi-sensor fusion target monitoring algorithms in the prior art, such as a UT-PHD-based sequential fusion tracking method disclosed in 201911041389.3 or a multi-sensor decision-level fusion intelligent ship surface target disclosed in 201911125608.6 Perceptual recognition method, but its noise is too large, the feasibility is not high, and the data collected by multi-sensors is not effectively transformed and fused, and the target box for final target recognition is optimized, resulting in a decline in the accuracy of target recognition. Defects such as missing targets that need to be tracked and identified

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