An expert knowledge constraint-based occlusion image ship target detection method and system

Abstract

The invention provides an expert knowledge constraint-based occlusion image ship target detection method and system, and the method comprises the steps: carrying out the preprocessing of sample data,and obtaining a preprocessed image; extracting candidate features by the RPN network, and generating a candidate region of the ship target; Expert knowledge extraction and feature dimension reduction:in order to solve hull occlusion, candidate regions generated by an RPN network are selected as a basis, and for each candidate region, expert knowledge features of an image block in the vertical direction are extracted in a sliding window form; CNN feature extraction: combining candidate regions generated by a region-based convolutional neural network and an RPN network to obtain feature maps ofthe candidate regions; Constructing a feature fusion network, and mapping the CNN features and expert knowledge to a unified feature space; Using the sample data to train a feature fusion network, and using the trained feature fusion network to realize shielding ship target detection. By applying the method, the ship detection result under the shielding condition can be optimized.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a method and system for detecting ship targets in occluded images based on expert knowledge constraints. Background technique [0002] Human beings have exploited and scrambled for the ocean throughout the history of the development of human civilization. Today, with the deepening of globalization, the ocean is an important link for economic and cultural exchanges among countries around the world. As a tool for human beings to develop and utilize the ocean, ships play an irreplaceable role. Ship target detection is an important part of the modern maritime intelligent monitoring system. Quickly and accurately identifying various ship targets is of great significance for monitoring maritime traffic, maintaining maritime rights and interests, and improving coastal defense early warning capabilities; in modern warfare, ship target recognition Technology has a wide range of...

AI Technical Summary

Problems solved by technology

However, the practical results show that CNN features are difficult to deal with the mutual occlusion between ships, and the detection performance in this case decreases

Images