Skip to content

Simple implementation of sar target recognition using machine learning methods

Notifications You must be signed in to change notification settings

hunterlew/mstar_with_machine_learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

mstar_with_machine_learning

Pre-requisites

The repository gives an example of SAR ATR on public MSTAR dataset with machine learning, using python 3.6 and scikit-learn API. It is recommended to directly install Anaconda 3 which provides common package like numpy, matplotlib and scipy as well as scikit-learn.

Descriptions

The example supports implementation with most machine learning methods including logistic regression, neural network, support vector machine and so on. For reducing computation, it uses principle components analysis for feature reduction.

Data processing and model declaration are respectively defined in data.py and model.py. Of cource you can add your own manipulation.

About

Simple implementation of sar target recognition using machine learning methods

Topics

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages