Ipsa-based ship target identification method and system for airborne infrared image

By improving the PID search algorithm and combining local adaptive threshold segmentation with Harris corner detection, a convex hull is constructed, which solves the problem of low accuracy in ship target identification in traditional methods and achieves efficient and accurate target extraction in complex marine environments.

CN121921516BActive Publication Date: 2026-06-23SHENZHEN INST OF GUANGDONG OCEAN UNIV +1
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Patent Information

Application Number
CN202610387619.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-27
Publication Date
2026-06-23
Estimated Expiration
2046-03-27

AI Technical Summary

Technical Problem

Traditional maritime airborne infrared imagery methods for ship target identification struggle to accurately separate ship targets in complex marine environments. Their low accuracy is due to factors such as image quality, background complexity, and small target size.

Method used

A combination of global threshold segmentation and local adaptive threshold segmentation based on the improved PID search algorithm (IPSA), along with Harris corner detection and convex hull construction, is used to generate the final water mask through logical fusion and morphological processing. Connected regions that meet the feature thresholds are then selected as ship targets.

Benefits of technology

It enables rapid and stable extraction of ship targets in complex marine environments, effectively suppressing background interference and improving the accuracy and efficiency of identification.

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Abstract

The embodiment of the application provides an IPSA-based ship target identification method and system for an airborne infrared image, wherein the method comprises the following steps: preprocessing an acquired original airborne image; performing global threshold segmentation on the preprocessed image based on an improved PID search algorithm to obtain a global water mask, and performing processing on the preprocessed image based on a local adaptive threshold segmentation method to obtain a local water mask; generating a final water mask according to the global water mask and the local water mask; constructing a candidate target region in a non-water region constrained by the final water mask; determining all connected regions in the candidate target region, calculating the geometric features and the gray features of each connected region, and screening the connected regions according to a preset feature threshold to determine the connected regions meeting the screening condition as ship targets. The technical scheme provided by the application can adapt to a complex marine environment and efficiently and accurately extract ship targets.
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