Data:
UrbanOccupationsOETR_Deutsche_Heereskarte_200_Turkey

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Abstract

Data: This section of the historical DHK 200 Turkey map covers a large area of around 150,000 square km in Turkey, including the regions of Balıkesir, Bursa, Eskişehir, Ankara, and Yozgat. The DHK 200 data consist of 65,000 x 18,000 pixels with a dpi of 300 and has a raster size of 17 x 17 meters. The map has a radiometric resolution of 8-bit and is in the RGB space. <strong>Dataset:</strong> The dataset constructed from the DHK 200 data consist of 256 x 256 dual patches (map and the corresponding ground truth) and contain 5 classes; stabilized roads (German: Fahrstraße, Turkish: şose), railways (German: Eisenbahn, Turkish: demiryolu), footpaths (German: Fußweg, Turkish: patika), cart roads (German: Fahrweg/Karawanenweg, Turkish: araba yolu), inferior roads (German: Saumweg, Turkish: adi yol). <br> If you would like to use the dataset below in further publication, please use the credentials specified below: Ekim, Burak, Elif Sertel, and M. E. Kabadayı 2021. “Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map” <em>ISPRS International Journal of Geo-Information</em> 10, no. 8: 492. https://doi.org/10.3390/ijgi10080492

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convolutional neural networks, road classification, segmentation, deep learning, fully convolutional networks, historical maps

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