This repository contains the code used to implement the paper Analysis of Color Space Quantization in Split-Brain Autoencoder for Remote Sensing Image Classification
Trained models can be found here
It can also be used to reproduce the results from the paper Evaluation of Split-Brain Autoencoders for High-Resolution Remote Sensing Scene Classification
If you find this work useful and use it in your research please cite
@inproceedings{stojnic2018analysis,
title={Analysis of Color Space Quantization in Split-Brain Autoencoder for Remote Sensing Image Classification},
author={Stojni{\'c}, Vladan and Risojevi{\'c}, Vladimir},
booktitle={2018 14th Symposium on Neural Networks and Applications (NEUREL)},
pages={1--4},
year={2018},
organization={IEEE}
}
@inproceedings{stojnic2018evaluation,
title={Evaluation of split-brain autoencoders for high-resolution remote sensing scene classification},
author={Stojni{\'c}, Vladan and Risojevi{\'c}, Vladimir},
booktitle={2018 International Symposium ELMAR},
pages={67--70},
year={2018},
organization={IEEE}
}