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21 Aug 2020
AUTOMATICALLY GENERATED TRAINING DATA FOR LAND COVER CLASSIFICATION WITH CNNS USING SENTINEL-2 IMAGES
M. Voelsen, J. Bostelmann, A. Maas, F. Rottensteiner, and C. Heipke
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A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING
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IMAGE-BASED DEEP LEARNING FOR RHEOLOGY DETERMINATION OF BINGHAM FLUIDS
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COOPERATIVE IMAGE ORIENTATION CONSIDERING DYNAMIC OBJECTS
P. Trusheim, M. Mehltretter, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 169–177, https://doi.org/10.5194/isprs-annals-V-1-2022-169-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-169-2022, 2022
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J. Noa, P. J. Soto, G. A. O. P. Costa, D. Wittich, R. Q. Feitosa, and F. Rottensteiner
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SEMANTIC SEGMENTATION OF BRAZILIAN SAVANNA VEGETATION USING HIGH SPATIAL RESOLUTION SATELLITE DATA AND U-NET
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Editorial Note
C. Heipke
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