Unlocking the Geospatial Past with Deep Learning – Establishing a Hub for Historical Map Data in Switzerland

Heitzler, Magnus; Hurni, Lorenz

doi:https://doi.org/10.5194/ica-abs-1-110-2019

Future National Atlases – Strategies for Tearing Down the User’s Firewall

René Sieber and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 5, 11, https://doi.org/10.5194/ica-abs-5-11-2022,https://doi.org/10.5194/ica-abs-5-11-2022, 2022

A CLOSER LOOK AT SEGMENTATION UNCERTAINTY OF SCANNED HISTORICAL MAPS

S. Wu, M. Heitzler, and L. Hurni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 189–194, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-189-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-189-2022, 2022

CNN-BASED TEMPLATE MATCHING FOR DETECTING FEATURES FROM HISTORICAL MAPS

X. Xia, M. Heitzler, and L. Hurni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1167–1173, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1167-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1167-2022, 2022

A NOVEL DATA AUGMENTATION METHOD TO ENHANCE THE TRAINING DATASET FOR ROAD EXTRACTION FROM SWISS HISTORICAL MAPS

C. Jiao, M. Heitzler, and L. Hurni

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 423–429, https://doi.org/10.5194/isprs-annals-V-2-2022-423-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-423-2022, 2022

Cartographic Styles Used in Spatial Planning Maps to Visualise Uncertain, Unfinished and Imagined Content

Katharina Henggeler and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 3, 107, https://doi.org/10.5194/ica-abs-3-107-2021,https://doi.org/10.5194/ica-abs-3-107-2021, 2021

Utilizing convolutional neural networks to extract road features from Swiss historical maps

Chenjing Jiao, Magnus Heitzler, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 3, 128, https://doi.org/10.5194/ica-abs-3-128-2021,https://doi.org/10.5194/ica-abs-3-128-2021, 2021

Inferring Implicit 3D Representations from Human Figures on Pictorial Maps

Raimund Schnürer, A. Cengiz Öztireli, Magnus Heitzler, René Sieber, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 3, 262, https://doi.org/10.5194/ica-abs-3-262-2021,https://doi.org/10.5194/ica-abs-3-262-2021, 2021

A survey on the evolution of the Chinese cadastral system

Chenjing Jiao and Lorenz Hurni

Proc. Int. Cartogr. Assoc., 4, 47, https://doi.org/10.5194/ica-proc-4-47-2021,https://doi.org/10.5194/ica-proc-4-47-2021, 2021

Augmenting Printed School Atlases with Thematic 3D Maps

Raimund Schnürer, Cédric Dind, Stefan Schalcher, Pascal Tschudi, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 2, 28, https://doi.org/10.5194/ica-abs-2-28-2020,https://doi.org/10.5194/ica-abs-2-28-2020, 2020

Analysis of Relief Shading Tools and Methods for Terrain Representation

Marianna Farmakis-Serebryakova and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 74, https://doi.org/10.5194/ica-abs-1-74-2019,https://doi.org/10.5194/ica-abs-1-74-2019, 2019

The Introduction Chapter of the Swiss World Atlas 2017 ‒ An Innovative Cartographic Education Tool in Switzerland

Christian Haeberling, Katharina Henggeler, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 104, https://doi.org/10.5194/ica-abs-1-104-2019,https://doi.org/10.5194/ica-abs-1-104-2019, 2019

Web Cartography going public: Developing a Massive Open Online Course (MOOC) for cartographic prosumers

Lorenz Hurni, Charalampos Gkonos, and Hans-Rudolf Baer

Abstr. Int. Cartogr. Assoc., 1, 132, https://doi.org/10.5194/ica-abs-1-132-2019,https://doi.org/10.5194/ica-abs-1-132-2019, 2019

Kaleidoscope of Swiss Cartography

Stefan Räber and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 305, https://doi.org/10.5194/ica-abs-1-305-2019,https://doi.org/10.5194/ica-abs-1-305-2019, 2019

Extending Exploration and Navigation Capabilities of the Atlas of Switzerland

Michael Schmuki, René Sieber, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 323, https://doi.org/10.5194/ica-abs-1-323-2019,https://doi.org/10.5194/ica-abs-1-323-2019, 2019

Towards Storytelling with Animated Pictorial Map Objects – An Experiment with Convolutional Neural Networks

Raimund Schnürer, Cengiz Öztireli, René Sieber, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 324, https://doi.org/10.5194/ica-abs-1-324-2019,https://doi.org/10.5194/ica-abs-1-324-2019, 2019

3D Carto-Graphics – Principles, Methods and Examples for Interactive Atlases

René Sieber, Remo Eichenberger, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 338, https://doi.org/10.5194/ica-abs-1-338-2019,https://doi.org/10.5194/ica-abs-1-338-2019, 2019

Topic Selection and Structure in the National Atlas of Switzerland

Raphael Vomsattel, René Sieber, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 384, https://doi.org/10.5194/ica-abs-1-384-2019,https://doi.org/10.5194/ica-abs-1-384-2019, 2019

Swiss World Atlas in Class Room – How to teach with maps

Wenke Zimmermann and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 1, 441, https://doi.org/10.5194/ica-abs-1-441-2019,https://doi.org/10.5194/ica-abs-1-441-2019, 2019

Cartographic Tools for Mapping Dreams

Cristina M. Iosifescu Enescu and Lorenz Hurni

Proc. Int. Cartogr. Assoc., 2, 48, https://doi.org/10.5194/ica-proc-2-48-2019,https://doi.org/10.5194/ica-proc-2-48-2019, 2019

Estimating network related risks: A methodology and an application in the transport sector

Jürgen Hackl, Juan Carlos Lam, Magnus Heitzler, Bryan T. Adey, and Lorenz Hurni

Nat. Hazards Earth Syst. Sci., 18, 2273–2293, https://doi.org/10.5194/nhess-18-2273-2018,https://doi.org/10.5194/nhess-18-2273-2018, 2018

Short summary

Unlocking the Geospatial Past with Deep Learning – Establishing a Hub for Historical Map Data in Switzerland

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