DeepAlchemy/DCIC22_SAR_ship_detection
👁 2022年数字中国创新大赛 (DCIC 2022) 卫星应用赛题——海上船舶智能检测第三名解决方案
This project helps maritime surveillance and port operations teams automatically find ships in satellite images. It takes raw Synthetic Aperture Radar (SAR) imagery as input and outputs precise locations and bounding boxes for detected ships. This tool is designed for analysts and operators who need to quickly identify vessel activity over large areas, enhancing situational awareness and efficiency.
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Use this if you need to reliably detect ships in SAR satellite images, especially in complex coastal or open-sea environments where vessels can be small or easily confused with backgrounds.
Not ideal if your primary need is detecting objects other than ships, or if you are working with optical satellite imagery rather than SAR data.
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61
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10
Language
Python
License
Apache-2.0
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Last pushed
Sep 20, 2022
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