Lukas Liebel

SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING DATA USING CONVOLUTIONAL NEURAL NETWORKS

Lukas Liebel, Marco Körner · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2016 · 141 citations · Full text

Computing, Vision Science, Computer Vision +13

Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset

Tobias Koch, Lukas Liebel, Marco Körner et al. · Computer Vision and Image Understanding · 2019 · 24 citations · Full text

Computing, Computer Science, Computational Geometry +15

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

Laura Wagner, Lukas Liebel, Marco Körner · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2019 · 16 citations · Full text

Computing, Computer Science, Earth Sciences +12

Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification

Chunping Qiu, Lukas Liebel, Lloyd Haydn Hughes et al. · IEEE Geoscience and Remote Sensing Letters · 2020 · 16 citations · Full text

Computing, Computer Science, Geoinformatics +17

WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES

Michael Schmitt, Jonathan Prexl, Patrick Ebel et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2020 · 10 citations · Full text

Computing, Computer Science, Earth Sciences +15