18.4.3.18.1 Super Resolution for Sentinel Sensors

Chapter Contents (Back)
Super Resolution. Sentinel.
See also Sentinel-1, -2, -3 for Land Cover, Remote Sensing.

Lanaras, C.[Charis], Bioucas-Dias, J.[José], Galliani, S.[Silvano], Baltsavias, E.[Emmanuel], Schindler, K.[Konrad],
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network,
PandRS(146), 2018, pp. 305-319.
Elsevier DOI 1812
Sentinel-2, Super-resolution, Sharpening of bands, Convolutional neural network, Deep learning BibRef

Pouliot, D.[Darren], Latifovic, R.[Rasim], Pasher, J.[Jon], Duffe, J.[Jason],
Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Gargiulo, M.[Massimiliano], Mazza, A.[Antonio], Gaetano, R.[Raffaele], Ruello, G.[Giuseppe], Scarpa, G.[Giuseppe],
Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Masoud, K.M.[Khairiya Mudrik], Persello, C.[Claudio], Tolpekin, V.A.[Valentyn A.],
Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Romero, L.S.[Luis Salgueiro], Marcello, J.[Javier], Vilaplaan, V.[Verónica],
Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Lin, C., Bioucas-Dias, J.M.,
An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution,
GeoRS(58), No. 5, May 2020, pp. 3352-3365.
IEEE DOI 2005
Convex optimization, scene-adapted self-similarity, self-similarity, Sentinel-2 satellite, super-resolution BibRef

Galar, M.[Mikel], Sesma, R.[Rubén], Ayala, C.[Christian], Albizua, L.[Lourdes], Aranda, C.[Carlos],
Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Armannsson, S.E.[Sveinn E.], Ulfarsson, M.O.[Magnus O.], Sigurdsson, J.[Jakob], Nguyen, H.V.[Han V.], Sveinsson, J.R.[Johannes R.],
A Comparison of Optimized Sentinel-2 Super-Resolution Methods Using Wald's Protocol and Bayesian Optimization,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef


Pineda, F., Ayma, V., Beltran, C.,
A Generative Adversarial Network Approach for Super-resolution Of Sentinel-2 Satellite Images,
ISPRS20(B1:9-14).
DOI Link 2012
BibRef

Panagiotopoulou, A.[Antigoni], Grammatikopoulos, L.[Lazaros], Kalousi, G.[Georgia], Charou, E.[Eleni],
Sentinel-2 and Spot-7 Images in Machine Learning Frameworks for Super-resolution,
PRAConBE20(462-476).
Springer DOI 2103
BibRef

Galar, M., Sesma, R., Ayala, C., Aranda, C.,
Super-resolution for Sentinel-2 Images,
PIA19(95-102).
DOI Link 1912
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Video Image Restoration and Enhancement .


Last update:Nov 1, 2021 at 09:26:50