CNN-SoilTextureClassification

One-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data.
https://github.com/felixriese/CNN-SoilTextureClassification

Category: Natural Resources
Sub Category: Soil and Land

Keywords

1d-cnn classification cnn conference convolutional-neural-networks hyperspectral-data publication publication-code soil-texture-classification

Last synced: about 11 hours ago
JSON representation

Repository metadata

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

• Host: GitHub
• URL: https://github.com/felixriese/CNN-SoilTextureClassification
• Owner: felixriese
• License: mit
• Created: 2019-01-15T11:28:31.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-05-09T16:39:41.000Z (almost 3 years ago)
• Last Synced: 2025-04-18T20:13:41.981Z (9 days ago)
• Topics: 1d-cnn, classification, cnn, conference, convolutional-neural-networks, hyperspectral-data, publication, publication-code, soil-texture-classification
• Language: Python
• Homepage: https://doi.org/10.5281/zenodo.2540718
• Size: 32.2 KB
• Stars: 60
• Watchers: 4
• Forks: 16
• Open Issues: 0
• Releases: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

README.md

git clone https://github.com/felixriese/CNN-SoilTextureClassification.git

cd CNN-SoilTextureClassification/

wget https://raw.githubusercontent.com/titu1994/keras-coordconv/c045e3f1ff7dabd4060f515e4b900263eddf1723/coord.py .

import cnn_models as cnn

model = cnn.getKerasModel("LucasCNN")
model.compile(...)

from lucas_classification import lucas_classification

score = lucas_classification(
    data=[X_train, X_val, y_train, y_val],
    model_name="LucasCNN",
    batch_size=32,
    epochs=200,
    random_state=42)

print(score)

@misc{riese2019cnn,
    author       = {Riese, Felix~M.},
    title        = {{CNN Soil Texture Classification}},
    year         = {2019},
    publisher    = {Zenodo},
    DOI          = {10.5281/zenodo.2540718},
}

@article{riese2019soil,
    author = {Riese, Felix~M. and Keller, Sina},
    title = {Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data},
    year = {2019},
    journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
    volume = {IV-2/W5},
    pages = {615--621},
    doi = {10.5194/isprs-annals-IV-2-W5-615-2019},
}

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite both the article from preferred-citation and the software itself."
authors:
  - family-names: Riese
    given-names: Felix M.
    orcid: https://orcid.org/0000-0003-0596-9585
title: "CNN Soil Texture Classification"
version: 1.1
doi: "10.5281/zenodo.2540718"
date-released: 2020-06-09
repository-code: https://github.com/felixriese/CNN-SoilTextureClassification
license: MIT
preferred-citation:
  authors:
    - family-names: Riese
      given-names: Felix M.
    - family-names: Keller
      given-names: Sina
  title: "Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data"
  type: article
  year: 2019
  doi: "10.5194/isprs-annals-IV-2-W5-615-2019"
  journal: "ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences"
  volume: IV-2/W5
  url: https://www.mdpi.com/2072-4292/12/1/7
  pages: "615-621"

Owner metadata

• Name: Dr. Felix Riese
• Login: felixriese
• Email:
• Kind: user
• Description: Ph.D. & MBA | Head of Product | Physicist with 9+ Years in Data Science and Machine Learning | First-Principles Thinking
• Website: felixriese.de
• Location: Munich, Germany
• Twitter:
• Company: @Peter-Park-Systems-GmbH
• Icon url: https://avatars.githubusercontent.com/u/17081863?u=4ceafc223f4a4b639ac9518491af4df0b8485df7&v=4
• Repositories: 17
• Last ynced at: 2024-06-11T15:39:01.250Z
• Profile URL: https://github.com/felixriese

GitHub Events

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• Watch event: 3
• Fork event: 1

Last Year

• Watch event: 3
• Fork event: 1

Committers metadata

Last synced: 7 days ago

Committer domains:

• felixriese.de: 1
• kit.edu: 1

Issue and Pull Request metadata

Last synced: 1 day ago

Dependencies

Score: 4.787491742782046