Modeling urbanization patterns with generative adversarial networks

Preprint English OPEN
Albert, Adrian ; Strano, Emanuele ; Kaur, Jasleen ; Gonzalez, Marta (2018)
  • Subject: Computer Science - Learning
    acm: ComputerApplications_MISCELLANEOUS

In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory. We generated a synthetic urban "universe" that qualitatively reproduces the complex spatial organizatio... View more
  • References (10)

    [5] I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative Adversarial Networks,” ArXiv e-prints, June 2014.

    [6] Alec Radford, Luke Metz, and Soumith Chintala, “Unsupervised representation learning with deep convolutional generative adversarial networks,” CoRR, vol. abs/1511.06434, 2015.

    [7] DaoYu Lin, “Deep unsupervised representation learning for remote sensing images,” CoRR, vol. abs/1612.08879, 2016.

    [8] Nikolay Jetchev, Urs Bergmann, and Roland Vollgraf, “Texture synthesis with spatial generative adversarial networks,” CoRR, vol. abs/1611.08207, 2016.

    [9] K. Schawinski, C. Zhang, H. Zhang, L. Fowler, and G. K. Santhanam, “Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit,” Monthly notices of the royal astronomical society, vol. 467, pp. 110-114, May 2017.

    [10] M. Mustafa, D. Bard, W. Bhimji, R. Al-Rfou, and Z. Lukic´, “Creating Virtual Universes Using Generative Adversarial Networks,” ArXiv e-prints, June 2017.

    [11] Thomas Esch, Wieke Heldens, Andreas Hirner, Manfred Keil, Mattia Marconcini, Achim Roth, Julian Zeidler, Stefan Dech, and Emanuele Strano, “Breaking new ground in mapping human settlements from space the global urban footprint,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 134, no. Supplement C, pp. 30 - 42, 2017.

    [12] Oak Ridge National Laboratory, “Landscan global population dataset 2013,” Oak Ridge, Tennessee, 2014.

    [13] Robert Hijmans, Julian Kapoor, John Wieczorek, Nel Garcia, Aileen Maunahan, Arnel Rala, and Alex Mandel, “Global administrative areas (gadm),” University of California, Davis. Available online at http: //, 2016.

    [14] Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen, “Improved techniques for training gans,” CoRR, vol. abs/1606.03498, 2016.

  • Related Research Results (1)
  • Metrics
    views in OpenAIRE
    views in local repository
    downloads in local repository
Share - Bookmark