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Introduction

This workshop will bring geoscientists, computer scientists, engineers, entrepreneurs, and decision makers from academia, industry, and government to discuss the latest trends, successes, challenges, and opportunities in the field of deep learning for geographical data mining and knowledge discovery. Through the workshop, attendees can exchange the latest techniques and workflows used in deep learning for geographical and spatial research. This workshop has a combination of computational methods and geographic research, and fits the general theme of ACM SIGSPATIAL.

Call for paper

Important date

2017-08-25
Draft paper submission deadline
2017-10-06
Final paper submission deadline

 

 

Submission Topics

The workshop will provide an interactive forum to engage in discussions, shape the research directions, and disseminate state-of-the-art solutions. Examples of topics include but not limited to:

  • Novel deep neural network architectures and algorithms for geographic information analysis;

  • Deep learning for object extraction (such as roads, buildings) from remote sensing images;

  • Deep learning for geographic information extraction from text (e.g. social media, web documents, and news);

  • Deep learning models for multi/hyperspectral data analysis;

  • Deep learning methods for urban growth prediction;

  • AI and deep learning in autonomous transportation and high-precision maps;

  • Unsupervised learning

  • HPC architecture for deep learning

  • Applications of deep learning in disaster response.

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Important Date
  • Nov 07

    2017

    Conference Date

  • Aug 25 2017

    Draft paper submission deadline

  • Oct 06 2017

    Final Paper Deadline

  • Nov 07 2017

    Registration deadline