Vaihingen dataset

doi:doi:10.57702/bzi394da

Vaihingen dataset

The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM) generated from wide baseline multiple overlapping airbourne images with a ground sampling distance (GSD) of 8 cm.

BibTex:

@dataset{Franz_Rottensteiner_and_Gunho_Sohn_and_Marius_Cordts_and_Marius_Cordts_2024,
    abstract = {The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM) generated from wide baseline multiple overlapping airbourne images with a ground sampling distance (GSD) of 8 cm.},
    author = {Franz Rottensteiner and Gunho Sohn and Marius Cordts and Marius Cordts},
    doi = {10.57702/bzi394da},
    institution = {No Organization},
    keyword = {'Aerial Images', 'Colour-infrared orthophoto', 'Digital surface model', 'High-resolution', 'Land cover classification', 'Land-cover classes', 'Remote Sensing Images', 'Remote sensing', 'Semantic segmentation', 'Urban Areas', 'aerial images', 'change detection', 'image segmentation', 'pixel classification', 'satellite images', 'semantic segmentation', 'urban scenes'},
    month = {dec},
    publisher = {TIB},
    title = {Vaihingen dataset},
    url = {https://service.tib.eu/ldmservice/dataset/vaihingen-dataset},
    year = {2024}
}