Reciprocal style and information transfer between historical Istanbul Pervititch Maps and satellite views using machine learning



Palabras clave:

Istanbul Pervititch Maps, artificial intelligence, machine learning, semantic segmentation, CycleGAN


Historical maps contain significant data on the cultural, social, and urban character of cities. However, most historical maps utilize specific notation methods that differ from those commonly used today and converting these maps to more recent formats can be highly labor-intensive. This study is intended to demonstrate how a machine learning (ML) technique can be used to transform old maps of Istanbul into spatial data that simulates modern satellite views (SVs) through a reciprocal map conversion framework. With this aim, the Istanbul Pervititch Maps (IPMs) made by Jacques Pervititch in 1922-1945 and current SVs were used to test and evaluate the proposed framework. The study consists of a style and information transfer in two stages: (i) from IPMs to SVs, and (ii) from SVs to IPMs using CycleGAN (a type of generative adversarial network). The initial results indicate that the proposed framework can transfer attributes such as green areas, construction techniques/materials, and labels/tags.


Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Sema Alaçam, Istanbul Technical University

Department of Architecture, Istanbul Technical University, Istanbul, Turkey

Ilker Karadag, Manisa Celal Bayar University

Department of Architecture, Manisa Celal Bayar University, Manisa, Turkey

Orkan Zeynel Güzelci, University of Porto

Faculty of Architecture + DFL/CEAU, University of Porto, Porto, Portugal


Andrade, H. J., & Fernandes, B. J. (2020). Synthesis of Satellite-Like Urban Images from Historical Maps Using Conditional GAN. IEEE Geoscience and Remote Sensing Letters, 1–4.

Archnet. (2021). Insurance Maps of Turkey and Istanbul.

Balci, O. Terzi, Ş. B., & Balaban, Ö. (2020). Map generation & manipulation with generative adversarial networks. JCoDe: Journal of Computational Design, 1(3), 95–114.

Bromberg, K. D., & Bertness, M. D. (2005). Reconstructing New England salt marsh losses using historical maps. Estuaries, 28(6), 823–832.

Chiang, Y. Y., Duan, W., Leyk, S., Uhl, J. H., & Knoblock, C. A. (2020). Using historical maps in scientific studies. Springer.

Ciski, M., & Ogryzek, M. (2018). Differences in the Mapping of the Southern Coastline of the Baltic Sea on Historical Maps, in the XVI-XX Centuries. Proceedings of the 2018 Baltic Geodetic Congress (BGC Geomatics) (pp. 154–158). IEEE.

Çınaryılmaz, N. E., & Ar, B. (2020). San Michele Church of Genoese Galata (Pera): Historic records and material evidence on its chronology. A|Z ITU Journal of the Faculty of Architecture, 17(2), 15–29.

Crommelinck, S., Bennett, R., Gerke, M., Nex, F., Yang, M. Y., & Vosselman, G. (2016). Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping. Remote Sensing, 8(8), 689.

Dağdelen, İ. (2006). Alman Mavileri, 1913–1914: I. Dünya Savaşı Öncesi İstanbul Haritaları [German Blues, 1913-1914: İstanbul Maps Before World War I]. İstanbul Büyükşehir Belediyesi Kütüphane ve Müzeler Müdürlüğü.

Duan, W., Chiang, Y. Y., Leyk, S., Uhl, J. H., & Knoblock, C. A. (2020). Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. International Journal of Geographical Information Science, 34(4), 824–849.

Fuchs, R., Verburg, P. H., Clevers, J. G., & Herold, M. (2015). The potential of old maps and encyclopaedias for reconstructing historic European land cover/use change. Applied Geography, 59, 43–55.

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial nets. NIPS'14: Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 (pp. 2672–2680). MIT Press.

Haase, D., Walz, U., Neubert, M., & Rosenberg, M. (2007). Changes to Central European landscapes—analysing historical maps to approach current environmental issues, examples from Saxony, Central Germany. Land use policy, 24(1), 248–263.

Heitzler, M., & Hurni, L. (2020). Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map. Transactions in GIS, 24(2), 442–461.

Isola, P., Zhu, J. Y., Zhou, T., & Efros, A. A. (2017). Image-to-Image Translation with Conditional Adversarial Networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 5967–5976). IEEE.

Istanbul Metropolitan Municipality - Atatürk Library Digital Archive and E-Sources. (2021). Jacques Pervititch.

Istanbul Metropolitan Municipality - Directorate of Geographic Information Systems. (2021). Istanbul Metropolitan Municipality Application of City Map.

Istanbul Urban Database. (2021). IUDB.

Kang, Y., Gao, S., & Roth, R. E. (2019). Transferring multiscale map styles using generative adversarial networks. International Journal of Cartography, 5(2-3), 115–141.

Li, Z. (2019). Generating Historical Maps from Online Maps. SIGSPATIAL'19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 610–611). Association for Computing Machinery.

Müller-Wiener, W. (2001). İstanbul’un Tarihsel Topografyası [Historical Topography of Istanbul]. Yapı Kredi Yayınları.

Pervititch, J. (2000). Jacques Pervititch Sigorta Haritalarında İstanbul [İstanbul in the Insurance Maps of Jacques Pervititch]. Tarih Vakfı Yurt Yayınları.

Salt Research. (2021). Jacques Pervititch.

Sen, A. (2020). Comparison of Past and Present Maps of Istanbul Historic Peninsula in GIS, Based on the Insurance Maps of Jacques Pervititch. e-Perimetron, 15(3), 183–198.

Turan N. (2011) Towards an Ecological Urbanism for Istanbul. In: A. Sorensen, & J. Okata (Eds.), Megacities: Urban Form, Governance, and Sustainability (pp. 223–243). Springer.

Turgut, H. (2021). Istanbul: The city as an urban palimpsest. Cities, 112, 103131.

Uhl, J. H., Leyk, S., Chiang, Y. Y., Duan, W., & Knoblock, C. A. (2019). Automated extraction of human settlement patterns from historical topographic map series using weakly supervised convolutional neural networks. IEEE Access, 8, 6978–6996.

Wang, S., Mu, X., He, H., Yang, D., & Zhao, P. (2020). Feature transfer based adversarial domain adaptation method for cross-domain road extraction. Geocarto International.

Zhu, J. Y., Park, T., Isola, P., & Efros, A. A. (2017). Unpaired image-to-image translation using cycle-consistent adversarial networks. Proceedings of the IEEE International Conference on Computer Vision (ICCV) (pp. 2242–2251). IEEE.




Cómo citar

Alaçam, S., Karadag, I., & Güzelci, O. Z. (2022). Reciprocal style and information transfer between historical Istanbul Pervititch Maps and satellite views using machine learning. Estoa. Revista De La Facultad De Arquitectura Y Urbanismo De La Universidad De Cuenca, 11(22).