kbhujbal/Trident-synthetic_aperture_radar_maritime_vessel_detection_yolov8
📡 Production-grade maritime surveillance system for detecting ships in Synthetic Aperture Radar (SAR) imagery using YOLOv8-OBB (Oriented Bounding Boxes) and Lee speckle filtering. Handles the unique challenges of radar imagery: multiplicative noise and arbitrarily-oriented vessels.
This system helps maritime surveillance professionals automatically find ships in Synthetic Aperture Radar (SAR) imagery. It takes raw SAR images, processes them to reduce radar-specific noise, and then outputs precise detections of vessels, indicating their exact position and orientation. It's designed for analysts who need to efficiently monitor sea lanes or specific maritime areas.
Use this if you need to reliably detect ships in SAR satellite or airborne radar images, especially when vessels can be oriented in any direction and traditional image analysis struggles with radar speckle noise.
Not ideal if your images are from optical cameras or other non-SAR sensors, or if you only need to identify broad areas of interest rather than precise, oriented ship locations.
Stars
10
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Language
Python
License
MIT
Category
Last pushed
Dec 04, 2025
Commits (30d)
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