ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume IV-2/W7
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 189–196, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W7-189-2019
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 189–196, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W7-189-2019
 
16 Sep 2019
16 Sep 2019

DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY

L. Wagner et al.

Related authors

Towards hybrid modeling of the global hydrological cycle
Basil Kraft, Martin Jung, Marco Körner, Sujan Koirala, and Markus Reichstein
Hydrol. Earth Syst. Sci., 26, 1579–1614, https://doi.org/10.5194/hess-26-1579-2022,https://doi.org/10.5194/hess-26-1579-2022, 2022
Short summary
HYBRID MODELING: FUSION OF A DEEP LEARNING APPROACH AND A PHYSICS-BASED MODEL FOR GLOBAL HYDROLOGICAL MODELING
B. Kraft, M. Jung, M. Körner, and M. Reichstein
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1537–1544, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1537-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1537-2020, 2020
BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING
M. Rußwurm, C. Pelletier, M. Zollner, S. Lefèvre, and M. Körner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1545–1551, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1545-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1545-2020, 2020
LONG-SHORT SKIP CONNECTIONS IN DEEP NEURAL NETWORKS FOR DSM REFINEMENT
K. Bittner, L. Liebel, M. Körner, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 383–390, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-383-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-383-2020, 2020
WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES
M. Schmitt, J. Prexl, P. Ebel, L. Liebel, and X. X. Zhu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 795–802, https://doi.org/10.5194/isprs-annals-V-3-2020-795-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-795-2020, 2020