Hyperspectral Regression: Code Examples

This repository consists of additional material and exemplary implementations for our book chapter.

The code in this repository is provided via notebooks. The notebooks are structured as follows:

1. Data
2. Features
3. Supervised Learning
4. Active Learning
5. Model Selection and Evaluation
6. Generative Adversarial Networks

Description

License:	3-Clause BSD license
Authors:	Felix M. Riese, Sina Keller
Citation:	see Citation
Paper:	Riese and Keller (2020)
Requirements:	Python 3 with these packages

How to use this repository?

1. Install Python 3, e.g. with Anaconda

2. Install the required packages

   conda install --file requirements.txt

3. Start jupyter

   jupyter notebook

4. Open the notebook folder in this repository in the Jupyter browser and select the desired notebook.

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Citation

The bibtex file including both references is available in bibliography.bib.

Paper:

Felix M. Riese and Sina Keller, "Supervised, Semi-Supervised, and Unsupervised Learning for Hyperspectral Regression", in Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing, Saurabh Prasad and Jocelyn Chanussot, Eds. Cham: Springer International Publishing, 2020, ch. 7, pp. 187–232, doi:10.1007/978-3-030-38617-7_7.

@incollection{riese2020supervised,
    author = {Riese, Felix~M. and Keller, Sina},
    title ={{Supervised, Semi-Supervised, and Unsupervised Learning for
            Hyperspectral Regression}},
    booktitle = {{Hyperspectral Image Analysis: Advances in Machine
                 Learning and Signal Processing}},
    editor = {Prasad, Saurabh and Chanussot, Jocelyn},
    year = {2020},
    publisher = {Springer International Publishing},
    address = {Cham},
    chapter = {7},
    pages = {187--232},
    doi = {10.1007/978-3-030-38617-7_7},
}

Code:

Felix M. Riese and Sina Keller, "Hyperspectral Regression: Code Examples", Zenodo, doi:10.5281/zenodo.3450676, 2019.

@misc{riese2019hyperspectral,
    author = {Riese, Felix~M. and Keller, Sina},
    title = {{Hyperspectral Regression: Code Examples}},
    year = {2019},
    DOI = {10.5281/zenodo.3450676},
    publisher = {Zenodo},
    howpublished = {\href{https://doi.org/10.5281/zenodo.3450676}{doi.org/10.5281/zenodo.3450676}}
}