hunterlew/mstar_deeplearning_project
Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset
This project helps defense analysts, intelligence professionals, or researchers automatically identify and classify objects in Synthetic Aperture Radar (SAR) images. You input raw SAR imagery, and it outputs the detected targets with their classifications, helping you understand complex radar scans more effectively. This is designed for those who work with radar data for surveillance, reconnaissance, or academic study.
238 stars. No commits in the last 6 months.
Use this if you need to classify specific radar targets or detect and recognize multiple targets within larger SAR images.
Not ideal if you are looking for a general-purpose image recognition tool or are not working with MSTAR SAR datasets specifically.
Stars
238
Forks
72
Language
C++
License
—
Category
Last pushed
Mar 14, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hunterlew/mstar_deeplearning_project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ayoolaolafenwa/PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
ngageoint/hootenanny
Hootenanny conflates multiple maps into a single seamless map.
ainfosec/FISSURE
The RF and reverse engineering framework for everyone. Follow and ★ to show your support!
kitoweeknd/RFUAV
This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle...
YakshHaranwala/PTRAIL
PTRAIL is a state-of-the art parallel computation library for Mobility Data Preprocessing and...