This is a fork of Caffe which is modifed for hyperspectral image classification. If you want more details about CNN based HSI classification, please reference our publication:
@article{Yu2016,
author = "Shiqi Yu and Sen Jia and Chunyan Xu",
title = "Convolutional neural networks for hyperspectral image classification ",
journal = "Neurocomputing ",
volume = "",
number = "",
pages = " - ",
year = "2016",
note = "",
issn = "0925-2312",
doi = "http://dx.doi.org/10.1016/j.neucom.2016.09.010",
url = "http://www.sciencedirect.com/science/article/pii/S0925231216310104",
}
- hsi/
- tools/convert_hsi_imageset.cpp
Please visit http://caffe.berkeleyvision.org for more documentation about Caffe.
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
Check out the project site for all the details like
- DIY Deep Learning for Vision with Caffe
- Tutorial Documentation
- BAIR reference models and the community model zoo
- Installation instructions
and step-by-step examples.
- Intel Caffe (Optimized for CPU and support for multi-node), in particular Xeon processors (HSW, BDW, SKX, Xeon Phi).
- OpenCL Caffe e.g. for AMD or Intel devices.
- Windows Caffe
Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.
Happy brewing!
Caffe is released under the BSD 2-Clause license. The BAIR/BVLC reference models are released for unrestricted use.
Please cite Caffe in your publications if it helps your research:
@article{jia2014caffe,
Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
Journal = {arXiv preprint arXiv:1408.5093},
Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
Year = {2014}
}