Far small target real-time detection method under sea fog meteorological condition

Abstract

The invention relates to the field of image processing and computer vision, in particular to a far small target real-time detection method under the sea fog meteorological condition. The invention provides a real-time defogging method based on a convolutional neural network, and the method consists of a K module estimation network and a fogless image restoration part, obtains a K parameter through the K module estimation network, and obtains a clear fogless image according to the fogless image restoration part. A multi-scale target detection model Dense-YOLOv4 fused with dense connection blocks is designed, and the dense connection blocks are added into a Neck layer under the 76 * 76 scale of a YOLOv4 network. According to the method, the image definition and the target detail information can be remarkably enhanced under the sea fog meteorological condition, so that the detection precision of a detector on a far small target under the sea fog meteorological condition is improved, the omission ratio is reduced, and the method has important application value on navigation safety under the sea fog meteorological condition.

Description

technical field [0001] The invention relates to the fields of image processing and computer vision, in particular to a real-time detection method for far and small targets under sea fog weather conditions. Background technique [0002] In recent years, with the integration of computer vision and deep learning, object detection has become more and more important as a basic research work in the field of computer vision. Due to the complex and changeable marine environment, sea fog weather conditions often occur. Atmospheric scattering particles in sea fog weather cause serious degradation of video image information collected on marine equipment, which largely interferes with the independent completion of target detection and other tasks of marine equipment. . At present, the impact of sea fog weather on the detection of far and small targets at sea has not been considered, and the sea targets are mainly far and small targets, and the details of the detection can be obtained l...

AI Technical Summary

Problems solved by technology

Due to the complex and changeable marine environment, sea fog weather conditions often occur. Atmospheric scattering particles in sea fog weather cause serious degradation of video image information collected on marine equipment, which largely interferes with the independent completion of target detection and other tasks of marine equipment.

At present, the impact of sea fog weather on the detection of far and small targets at sea has not been considered, and the sea targets are mainly far and small targets, and the details of the detection can be obtained less, coupled with the interference of sea fog, so that the final obtained The detection accuracy drops significantly

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