jakee417/LS-SSDD-v1.0-ShipDetectionComputerVision

Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning

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Experimental

This project helps maritime surveillance professionals automatically identify small vessels in Synthetic Aperture Radar (SAR) imagery. You provide raw SAR images, and the system outputs detections of small ships within those images. It's designed for analysts, coast guard personnel, or anyone monitoring sea activity using radar satellite data.

No commits in the last 6 months.

Use this if you need to quickly and accurately spot small vessels in large volumes of SAR imagery for maritime domain awareness.

Not ideal if you're looking for a pre-trained, ready-to-use application with model weights and datasets included, as this repository provides the code for training and inference, not the deployed solution.

maritime-surveillance SAR-imagery ship-detection coastal-security ocean-monitoring
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 9 / 25

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Last pushed

Apr 07, 2021

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