ISPRS-ARCHIVES - Relations - CNN-BASED TEMPLATE MATCHING FOR DETECTING FEATURES FROM HISTORICAL MAPS

Generating isoline maps from spatially-exhaustive climate reanalysis data

Aline Wildberger and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 10, 302, https://doi.org/10.5194/ica-abs-10-302-2025,https://doi.org/10.5194/ica-abs-10-302-2025, 2025

A Public Digital Platform for the Inventory and Cataloguing of Handmade Relief Models

Stefan Räber, Bernhard Jenny, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 10, 236, https://doi.org/10.5194/ica-abs-10-236-2025,https://doi.org/10.5194/ica-abs-10-236-2025, 2025

Redesigning the User Interface of the Atlas of Switzerland for the Web

Andreas Neumann, Alexander Müdespacher, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 10, 216, https://doi.org/10.5194/ica-abs-10-216-2025,https://doi.org/10.5194/ica-abs-10-216-2025, 2025

Engineers of Map Art – 170 Years of Cartography at ETH Zurich

Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 10, 116, https://doi.org/10.5194/ica-abs-10-116-2025,https://doi.org/10.5194/ica-abs-10-116-2025, 2025

Neural Network Models for Adaptive Multi-scale Relief Shading

Marianna Farmakis-Serebryakova and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 10, 73, https://doi.org/10.5194/ica-abs-10-73-2025,https://doi.org/10.5194/ica-abs-10-73-2025, 2025

An Efficient System for Automatic Map Storytelling: A Case Study on Historical Maps

Ziyi Liu, Claudio Affolter, Sidi Wu, Yizi Chen, and Lorenz Hurni

AGILE GIScience Ser., 6, 5, https://doi.org/10.5194/agile-giss-6-5-2025,https://doi.org/10.5194/agile-giss-6-5-2025, 2025

How Generative AI Supports Understanding of An Ethically Sensitive AI-Induced Event

Mengyi Wei, Chenjing Jiao, Chenyu Zuo, Lorenz Hurni, and Liqiu Meng

Abstr. Int. Cartogr. Assoc., 8, 26, https://doi.org/10.5194/ica-abs-8-26-2024,https://doi.org/10.5194/ica-abs-8-26-2024, 2024

Migrating the Atlas of Switzerland to the Web: A comparative analysis of 2D and 3D open-source web rendering frameworks

Andreas Neumann, Alexander Müdespacher, Remo Eichenberger, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 7, 117, https://doi.org/10.5194/ica-abs-7-117-2024,https://doi.org/10.5194/ica-abs-7-117-2024, 2024

Cartography: Facts, Figures, Fiction, Fake – or: 170 Years of Cartography at ETH Zurich

Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 7, 60, https://doi.org/10.5194/ica-abs-7-60-2024,https://doi.org/10.5194/ica-abs-7-60-2024, 2024

Cartographic visualization of the effects of climate change: a practical application for the Atlas of Switzerland

Luca Gaia, Andreas Neumann, René Sieber, and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 7, 42, https://doi.org/10.5194/ica-abs-7-42-2024,https://doi.org/10.5194/ica-abs-7-42-2024, 2024

Archiving Printed and Digital Atlases – How to keep the «Atlas of Switzerland» available for future generations

René Sieber and Lorenz Hurni

Abstr. Int. Cartogr. Assoc., 6, 235, https://doi.org/10.5194/ica-abs-6-235-2023,https://doi.org/10.5194/ica-abs-6-235-2023, 2023

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

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

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

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

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

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

CNN-BASED TEMPLATE MATCHING FOR DETECTING FEATURES FROM HISTORICAL MAPS

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