Python 2.7.12
Tensorflow
The goal of this project is to provide a way to classify the small image of SAR in ocean, especially two-category.
accuracy Top 1 P = 0.9359
main() is in the COSI.py
, you can run it to have a train, and you should ensure that other files
and COSI.py
are in the same folder.
Command line statement:
python COSI.py --mode=train --max_steps=50006 --eval_steps=100 --save_steps=2000
python COSI.py --mode=validation
……
COSI.py
:includes the main functions and FLAGS
cnnnet.py
:includes the structure of the CNN-SARNet
DI.py
:data read, preprocessing and enhancement
log.py
:bulid the logger files of the project
train.py
:algorithm of training network
validation.py
:validation method
inference.py
:inference for single test images
If you had some questions, you would email to me : [wyx_wx@foxmail.com]
If you are also committed to applying Deep Learning
to remote sensing (especially SAR ) research, you could also contact me for academic exchange.