felixriese/alpaca-processing
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license: BSD-3-Clause
Language: Jupyter Notebook .
Processing Scripts for the ALPACA Dataset
最后发布版本: v1.0 ( 2020-06-09 18:18:54)
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3871459.svg :target: https://doi.org/10.5281/zenodo.3871459 :alt: Zenodo
Processing Scripts of the ALPACA Dataset
This repository [1] includes various processing scripts of the ALPACA dataset [2] for hyperspectral and soil moisture data. The studies are published in [3].
We can not guarantee completeness or correctness of the code. If you find bugs
or if you have suggestions on how to improve the code, we encourage you to post
your ideas as GitHub issue <https://github.com/felixriese/alpaca-processing/issues>
_.
:License:
3-Clause BSD license <LICENSE>
_
:Author:
Felix M. Riese <mailto:github@felixriese.de>
_
:Requirements:
Python 3 with these packages <requirements.txt>
_
:Citation:
see Citation
_ and in the bibtex <bibliography.bib>
_ file
Workflow
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Process Soil Moisture Data <py/1_Process_SoilMoistureData.ipynb>
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Process Full Dataset <py/2_Process_FullDataset.ipynb>
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Dataset Shift Detection <py/3_DatasetShiftDetection.ipynb>
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Estimation (Original Data) <py/4_Estimation_OriginalData.ipynb>
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Estimation (Monte Carlo) <py/5_Estimation_MonteCarloAugmentedData.ipynb>
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Plots <py/6_PlotData.ipynb>
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Citation
Code:
[1] F. M. Riese, "Processing Scripts for the ALPACA Dataset," Zenodo, 2020.
DOI:10.5281/zenodo.3871459 <https://doi.org/10.5281/zenodo.3871459>
_
.. code:: bibtex
@misc{riese2020processing,
author = {Riese, Felix~M.},
title = {{Processing Scripts for the ALPACA Dataset}},
year = {2020},
doi = {10.5281/zenodo.3871459},
publisher = {Zenodo},
}
Dataset:
[2] F. M. Riese, S. Schroers, J. Wienhöfer, and S. Keller "Aerial Peruvian
Andes Campaign (ALPACA) Dataset 2019," KITopen, 2020.
DOI:10.5445/IR/1000118082 <https://doi.org/10.5445/IR/1000118082>
_
.. code:: bibtex
@misc{riese2020aerial,
author = {Riese, Felix~M. and Schroers, Samuel and Wienh{\"o}fer, Jan and Keller, Sina},
title = {Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019},
year = {2020},
doi = {10.5445/IR/1000118082},
organization = {KITopen},
}
Code is Supplementary Material to
[3] Felix M. Riese. "Development and Applications of Machine Learning Methods
for Hyperspectral Data." PhD thesis. Karlsruhe, Germany: Karlsruhe Institute of
Technology (KIT), 2020. DOI:10.5445/IR/1000120067 <https://doi.org/10.5445/IR/1000120067>
_
.. code:: bibtex
@phdthesis{riese2020development,
author = {Riese, Felix~M.},
title = {{Development and Applications of Machine Learning Methods for Hyperspectral Data}},
school = {Karlsruhe Institute of Technology (KIT)},
year = {2020},
address = {Karlsruhe, Germany},
doi = {10.5445/IR/1000120067},
}
主题(topics):
data-processing, drone, hyperspectral, hyperspectral-data-processing, machine-learning, python, regression, remote-sensing, soil-moisture, uav
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