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Project page for Remote sensing work "Remote sensing framework for geological mapping via stacked autoencoders and clustering"

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Project Page

This is a "Remote sensing framework for geological mapping via stacked autoencoders and clustering" paper project page.

url: stackedAE4Geo

Paper: here

Start using the template

To start using the template, click on Use this Template.

The template uses HTML to control the content and CSS to control the style. To edit the website contents, edit the index.html file. It contains different HTML "building blocks", use whichever ones you need and comment out the rest.

IMPORTANT! Make sure to replace the favicon.ico under static/images/ with one of your own. Otherwise, your favicon is going to be a dreambooth image of me.

Components

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  • PDF Poster
  • Bibtex citation

Tips:

  • The index.html file contains comments instructing you what to replace, you should follow these comments.
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Acknowledgments

Parts of this project page were adopted from the Nerfies page.

Cite:

  @article{NAGAR20244502,
  title = {Remote sensing framework for geological mapping via stacked autoencoders and clustering},
  journal = {Advances in Space Research},
  volume = {74},
  number = {10},
  pages = {4502-4516},
  year = {2024},
  issn = {0273-1177},
  doi = {https://doi.org/10.1016/j.asr.2024.09.013},
  url = {https://www.sciencedirect.com/science/article/pii/S0273117724009335},
  author = {Sandeep Nagar and Ehsan Farahbakhsh and Joseph Awange and Rohitash Chandra},
  keywords = {Remote sensing, Deep learning, Dimensionality reduction, Stacked autoencoders, -means clustering, Geological mapping},
  }

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