Method for detecting a ship in an aerial image of an unmanned aerial vehicle based on deep learning

Abstract

The invention discloses a method for detecting a ship in an aerial image of an unmanned aerial vehicle based on deep learning. The method comprises the steps that firstly, aerial images of unmanned aerial vehicles including military ships and civil ships are collected and marked, and a ship database is obtained; Then, the obtained ship database is sent to a deep learning network for training untilthe network converges; And finally, a ship target in the aerial image of the unmanned aerial vehicle is detected by using the trained deep learning network and the weight file, and outputting a detection result. The method has better accuracy and robustness, effectively solves the problem of small target detection in the aerial image of the unmanned aerial vehicle, also solves the problems of environmental interference, illumination influence and low accuracy of ship detection in a traditional image processing algorithm, and can be suitable for ship detection in different scenes.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for detecting ships in aerial images of unmanned aerial vehicles based on deep learning. Background technique [0002] With the development of social economy and the rapid development of transportation, the number, tonnage and speed of ships are increasing year by year, and the frequency of accidents such as ship collisions and ship collisions with bridges is also increasing. Casualties, property losses and environmental damage caused by maritime accidents are quite alarming; more importantly, with the rapid development of industrial technology, the identification of civilian ships and military ships is related to national security and people's safety issues, especially for Precise positioning of foreign ships at sea. Ship detection can be widely used in military and civilian fields, and plays an important role in land resource survey, ocean explorat...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the existing ship detection algorithm is overly dependent on the illumination and quality of the image and solve the problem that the pixels of the ship in the aerial image of the drone are relatively small, so that the ship detection has better adaptability and applicability, the present invention provides A ship detection method in UAV aerial images based on deep learning

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