Data:
UrbanOccupationsOETR_Deutsche_Heereskarte_200_Turkey

dc.contributor.authorEkim, Burak
dc.contributor.authorSertel, Elif
dc.contributor.authorKabadayı, M. Erdem
dc.contributor.orcid0000-0001-7014-1907
dc.contributor.orcid0000-0003-4854-494x
dc.contributor.orcid0000-0003-3206-0190
dc.date.accessioned2025-10-24T11:13:14Z
dc.date.issued2022-09-12
dc.description.abstractData: 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
dc.description.urihttps://dx.doi.org/10.5281/zenodo.7072623
dc.description.urihttp://dx.doi.org/10.5281/zenodo.7072623
dc.description.urihttps://dx.doi.org/10.5281/zenodo.7072622
dc.identifier.doi10.5281/zenodo.7072623
dc.identifier.openairedoi_dedup___::444e3b7ee15a3fce6b61df257fae63cd
dc.identifier.urihttps://hdl.handle.net/20.500.14288/31171
dc.publisherZenodo
dc.rightsOPEN
dc.subjectconvolutional neural networks
dc.subjectroad classification
dc.subjectsegmentation
dc.subjectdeep learning
dc.subjectfully convolutional networks
dc.subjecthistorical maps
dc.titleUrbanOccupationsOETR_Deutsche_Heereskarte_200_Turkey
dc.typeDataset
dspace.entity.typeData
local.import.sourceOpenAire

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