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Contrastive Pretraining for Railway Detection: Unveiling Historical Maps with Transformers
GeoAI@SIGSPATIAL, 2023Detecting railways from historical maps is challenging due to their infrequent representation in a map sheet and their visual similarity with roads. Basically, both railways and roads are symbolised as two parallel black lines, with slight differences ...
Xue Xia, C. Jiao, L. Hurni
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The Cartographic Journal, 2023
This paper aims to quantify land cover and vegetation changes over the past 250 years on Norfolk Island, Australia, a remote island important for its cultural heritage and biodiversity.
N. Levin, S. Kark
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This paper aims to quantify land cover and vegetation changes over the past 250 years on Norfolk Island, Australia, a remote island important for its cultural heritage and biodiversity.
N. Levin, S. Kark
semanticscholar +1 more source
MapSAM: adapting segment anything model for automated feature detection in historical maps
GIScience & Remote SensingAutomated feature detection in historical maps can significantly accelerate the reconstruction of the geospatial past. However, this process is often constrained by the time-consuming task of manually digitizing sufficient high-quality training data. The
Xue Xia +4 more
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Hyper-Local Deformable Transformers for Text Spotting on Historical Maps
Knowledge Discovery and Data MiningText on historical maps contains valuable information providing georeferenced historical, political, and cultural contexts. However, text extraction from historical maps has been challenging due to the lack of (1) effective methods and (2) training data.
Yijun Lin, Yao-Yi Chiang
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Trans. GIS, 2020
Extracting features from printed maps has been a challenge for decades; historical maps pose an even larger problem due to manual, inconsistent drawing or scribing, low printing quality, and geometrical distortions.
M. Heitzler, L. Hurni
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Extracting features from printed maps has been a challenge for decades; historical maps pose an even larger problem due to manual, inconsistent drawing or scribing, low printing quality, and geometrical distortions.
M. Heitzler, L. Hurni
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Synthesis of Satellite-Like Urban Images From Historical Maps Using Conditional GAN
IEEE Geoscience and Remote Sensing Letters, 2020One method for encouraging the public interest in the use of historical maps as a source of reliable knowledge is to represent them in a more familiar aspect, such as the style of the current-day popular application Google Maps’ satellite view.
Henrique J. A. Andrade +1 more
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Planetary Mapping: A Historical Overview
2019The development of the methods of visualization, control, and content of planetary maps goes in parallel with terrestrial ones. Both reflect technological, scientific, sociopolitical, and graphic design changes. However, while terrestrial maps are ubiquitous and show abstract or iconic representations of the Earth features, planetary surfaces are much ...
Hargitai, Henrik, Naß, Andrea
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International Journal of Geographical Information Science, 2019
With large amounts of digital map archives becoming available, automatically extracting information from scanned historical maps is needed for many domains that require long-term historical geographic data.
Weiwei Duan +4 more
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With large amounts of digital map archives becoming available, automatically extracting information from scanned historical maps is needed for many domains that require long-term historical geographic data.
Weiwei Duan +4 more
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Deep Neural Networks for Text Detection and Recognition in Historical Maps
IEEE International Conference on Document Analysis and Recognition, 2019We introduce deep convolutional and recurrent neural networks for end-to-end, open-vocabulary text reading on historical maps. A text detection network predicts word bounding boxes at arbitrary orientations and scales.
J. Weinman +5 more
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