Statistical-loss

This repository is an extension of Caffe for the paper "Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification" (TNNLS). [paper]

Installation

1. Install prerequisites for Caffe (see: Caffe installation instructions)

2. Add the header and source file in the Caffe project.

3. Modify

#include <complex.h>
#define lapack_complex_float    float _Complex

as

#include<complex>
#define lapack_complex_float    std::complex<float>

in the dependency package NugetPackages/OpenBLAS.0.2.14.1/lib/native/include/lapacke.h

4. Compile Caffe framework.

Citing this work

If you find this work helpful for your research, please consider citing:

@article{gong2020,
    Author = {Zhiqiang Gong and Ping Zhong and Weidong Hu},
    Title = {Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification},
    Booktitle = {IEEE Transactions on Neural Networks and Learning Systems},
    Year = {2020}
}