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A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change.

, и . IGARSS, стр. 1908-1911. IEEE, (2017)

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Johannes Uhl

Johannes Uhl

Johannes-H Heilmann

Johannes H Dreyer

Johannes H Nagelschmitz

 

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Automatic alignment of geographic features in contemporary vector data and historical maps., , , , , , и . GeoAI@SIGSPATIAL, стр. 45-54. ACM, (2017)Building Linked Spatio-Temporal Data from Vectorized Historical Maps., , , , , и . ESWC, том 12123 из Lecture Notes in Computer Science, стр. 409-426. Springer, (2020)Road network evolution in the urban and rural United States since 1900., , , и . Comput. Environ. Urban Syst., (2022)Towards the automated large-scale reconstruction of past road networks from historical maps., , , и . Comput. Environ. Urban Syst., (2022)Building Linked Data from Historical Maps., , , , , , и . SemSci@ISWC, том 2184 из CEUR Workshop Proceedings, стр. 59-67. CEUR-WS.org, (2018)A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change., и . IGARSS, стр. 1908-1911. IEEE, (2017)An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images., , , , , , и . KDD, стр. 3290-3298. ACM, (2020)A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition., , , , и . IEEE BigData, стр. 1604-1610. IEEE, (2021)Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning., , , , и . Int. J. Geogr. Inf. Sci., 34 (4): 824-849 (2020)Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing., , , , и . IET Image Processing, 12 (11): 2084-2091 (2018)