jasonmanesis/Ship-Detection-on-Remote-Sensing-Synthetic-Aperture-Radar-Data
Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
This project helps maritime surveillance and intelligence analysts automatically detect ships in Synthetic Aperture Radar (SAR) satellite imagery. It takes raw SAR images and outputs precise bounding boxes around identified vessels, greatly speeding up the analysis of large datasets. The primary users are professionals involved in monitoring sea lanes or maritime activity using satellite data.
144 stars. No commits in the last 6 months.
Use this if you need to reliably identify and locate ships from high-resolution SAR satellite images and want to automate this process.
Not ideal if your primary data source is optical satellite imagery or if you require detection of very small, fast-moving objects beyond typical maritime vessels.
Stars
144
Forks
13
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 06, 2022
Commits (30d)
0
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