Charis Lanaras
Charis Lanaras
PhD Candidate, ETH Zurich
Verified email at geod.baug.ethz.ch
Title
Cited by
Cited by
Year
Hyperspectral super-resolution by coupled spectral unmixing
C Lanaras, E Baltsavias, K Schindler
Proceedings of the IEEE International Conference on Computer Vision, 3586-3594, 2015
1442015
Learned spectral super-resolution
S Galliani, C Lanaras, D Marmanis, E Baltsavias, K Schindler
arXiv preprint arXiv:1703.09470, 2017
372017
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
C Lanaras, J Bioucas-Dias, S Galliani, E Baltsavias, K Schindler
ISPRS Journal of Photogrammetry and Remote Sensing 146, 305-319, 2018
332018
Ntire 2018 challenge on spectral reconstruction from rgb images
B Arad, O Ben-Shahar, R Timofte
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
322018
Super-resolution of multispectral multiresolution images from a single sensor
C Lanaras, J Bioucas-Dias, E Baltsavias, K Schindler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
242017
Advances in hyperspectral and multispectral image fusion and spectral unmixing
C Lanaras, E Baltsavias, K Schindler
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015
182015
Hyperspectral super-resolution with spectral unmixing constraints
C Lanaras, E Baltsavias, K Schindler
Remote Sensing 9 (11), 1196, 2017
102017
A comparison and combination of methods for co-registration of multi-modal images
C Lanaras, E Baltsavias, K Schindler
Proceedings of 35th Asian Conference on Remote Sensing, Nay Pyi Taw, Myanmar …, 2014
52014
Automated Detection of Lunar Rockfalls Using a Convolutional Neural Network
VT Bickel, C Lanaras, A Manconi, S Loew, U Mall
IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3501-3511, 2018
32018
Rapidmap project for disaster monitoring
K Cho, H Wakabayashi, C Yang, U Soergel, C Lanaras, E Baltsavias, ...
35th Asian Conference on Remote Sensing (ACRS), Nay Pyi Taw, Myanmar, 2014
32014
Rapid disaster analysis based on remote sensing: a case study about the Tohoku Tsunami disaster 2011
CH Yang, U Soergel, C Lanaras, E Baltsavias, K Cho, F Remondino, ...
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014
32014
Rapidmap-Rapid mapping and information dissemination for disasters using remote sensing and geoinformation
E Baltsavias, K Cho, F Remondino, U Sörgel, H Wakabayashi
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013
32013
Hyperspectral image fusion
C Lanaras, E Baltsavias, K Schindler
36th Asian conference on remote sensing (ACRS), Philippines, 2015
22015
Estimating the relative spatial and spectral sensor response for hyperspectral and multispectral image fusion
C Lanaras, E Baltsavias, K Schindler
Proceedings of the Asian Conference on Remote Sensing (ACRS), Colombo, Sri …, 2016
12016
Lunar Rockfall Detection and Mapping Using Deep Neural Networks
VT Bickel, C Lanaras, A Manconi, S Loew, U Mall
Lunar and Planetary Science Conference 50, 2019
2019
Automated Detection and Mapping of lunar Rockfalls using a CNN
VT Bickel, C Lanaras, A Manconi, S Loew, U Mall
MLEG2019, 2019
2019
A Deep Neural Network for Automated Detection and Mapping of lunar Rockfalls.
V Bickel, C Lanaras, A Manconi, S Loew, U Mall
Geophysical Research Abstracts 21, 2019
2019
Enhancing the Spectral and Spatial Resolution of Remote Sensing Images
C Lanaras
IGP Mitteilungen 122, 2018
2018
Ice Detection in Swiss Lakes using MODIS Data
M Tom, C Lanaras, E Baltsavias, K Schindler
38th Asian Conference on Remote Sensing. Space Applications: Touching Human …, 2017
2017
Hyperspectral Super-Resolution with Convolutional Neural Networks
C Lanaras, S Galliani, E Baltsavias, K Schindler
10th EARSeL SIG Imaging Spectroscopy Workshop, 40-41, 2017
2017
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