Remote sensing image super-resolution: Challenges and approaches, proceedings of 2015 IEEE International Conference on Digital Signal Processing (DSP), pp.196-200, 2015. ,
Super-resolution land cover pattern prediction using a hopfield neural network, Remote Sens. Environ, vol.79, pp.1-14, 2002. ,
A survey on object detection in optical remote sensing images, ISPRS J. Photogramm. Remote Sens, vol.117, pp.11-28, 2016. ,
Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks, ISPRS J. Photogramm. Remote Sens, vol.130, pp.139-149, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01672877
A new deep generative network for unsupervised remote sensing single-image super-resolution, IEEE Trans. Geosci. Remote Sens, vol.11, pp.6792-6810, 2018. ,
Improving the spatial resolution of Landsat TM/ETM+ through fusion with SPOT5 images via learning-based super-resolution, IEEE Trans. Geosci. Remote Sens, vol.53, pp.1195-1204, 2015. ,
Super-resolution reconstruction for multi-angle remote sensing images considering resolution differences, Remote Sens, vol.6, pp.637-657, 2014. ,
Hyperspectral super-resolution by coupled spectral unmixing, Proceedings of the IEEE International Conference on Computer Vision, pp.3586-3594, 2015. ,
Hyperspectral image super-resolution based on spatial and spectral correlation fusion, IEEE Trans. Geosci. Remote Sens, vol.56, pp.4165-4177, 2018. ,
Nonlocal similarity based DEM super resolution, ISPRS J. Photogramm. Remote Sens, vol.110, pp.48-54, 2015. ,
Demosaicking: Color filter array interpolation, IEEE Signal Process. Mag, vol.22, pp.44-54, 2005. ,
New edge-directed interpolation, IEEE Trans. Image Process, vol.10, pp.1521-1527, 2001. ,
An edge-guided image interpolation algorithm via directional filtering and data fusion, IEEE Trans. Image Process, vol.15, pp.2226-2238, 2006. ,
A new framework for remote sensing image superresolution: Sparse representation-based method by processing dictionaries with multi-type features, J. Syst. Archit, vol.64, pp.63-75, 2016. ,
Super-resolution through neighbor embedding, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.1, pp.I-I, 2004. ,
A statistical prediction model based on sparse representations for single image superresolution, IEEE Trans. Image Process, vol.23, pp.2569-2582, 2014. ,
Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization, IEEE Trans. Image Process, vol.20, pp.1838-1857, 2011. ,
Super-resolution of remote sensing images via sparse structural manifold embedding, Neurocomputing, vol.173, pp.1402-1411, 2016. ,
Hyperspectral Image Super-Resolution via Adaptive Dictionary Learning and Double l1 Constraint. Remote Sens, vol.11, pp.1-22, 2019. ,
Fast image super resolution via local regression, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp.3128-3131, 2012. ,
Super-resolution based on compressive sensing and structural self-similarity for remote sensing images, IEEE Trans. Geosci. Remote Sens, vol.51, pp.4864-4876, 2013. ,
Anchored neighborhood regression for fast example-based superresolution, Proceedings of the IEEE international conference on computer vision, pp.1920-1927, 2013. ,
A+: Adjusted anchored neighborhood regression for fast superresolution, Asian conference on computer vision, pp.111-126, 2014. ,
Naive bayes super-resolution forest, Proceedings of the IEEE International conference on computer vision, pp.325-333, 2015. ,
Super-resolution for remote sensing images via local-global combined network, IEEE Geosci. Remote Sens. Lett, vol.14, pp.1243-1247, 2017. ,
Learning a deep convolutional network for image super-resolution, European conference on computer, pp.184-199, 2014. ,
Photo-realistic single image super-resolution using a generative adversarial network, Proc. IEEE Conf. Comput. Vis. Pattern Recognit, vol.2, pp.4681-4690, 2017. ,
Accurate image super-resolution using very deep convolutional networks, Proceedings of the IEEE conference on computer vision and pattern recognition, p.26 ,
Remote sensing single-image superresolution based on a deep compendium model, IEEE Geosci. Remote Sens. Lett, vol.16, pp.1432-1436, 2019. ,
Image super-resolution using very deep residual channel attention networks, Proceedings of the European Conference on Computer Vision (ECCV), pp.286-301, 2018. ,
Image super-resolution via deep recursive residual network, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.3147-3155, 2017. ,
Achieving super-resolution remote sensing images via the wavelet transform combined with the recursive Res-Net, IEEE Trans. Geosci. Remote Sens, vol.57, pp.3512-3527, 2019. ,
Deep residual squeeze and excitation network for remote sensing image super-resolution, p.1817 ,
Satellite image super-resolution via multi-scale residual deep neural network. Remote Sens, vol.11, pp.1-19, 2019. ,
Remote sensing image superresolution using deep residual channel attention, IEEE Trans. Geosci. Remote Sens, vol.57, pp.9277-9289, 2019. ,
Deep edge guided recurrent residual learning for image super-resolution, IEEE Trans. Image Process, vol.26, pp.5895-5907, 2017. ,
Recovering realistic texture in image super-resolution by deep spatial feature transform, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.606-615, 2018. ,
Deep laplacian pyramid networks for fast and accurate superresolution, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.624-632, 2017. ,
Single image super-resolution through automated texture synthesis, Proceedings of the IEEE International Conference on Computer Vision, pp.22-29, 2017. ,
Enhanced deep residual networks for single image superresolution, Proc. IEEE Conf. Comput. Vis. Pattern Recognit, vol.1, pp.136-144, 2017. ,
, , 2019.
Superpixel-based graphical model for remote sensing image mapping, IEEE Trans. Geosci. Remote Sens, vol.53, pp.5861-5871, 2015. ,
Recurrent neural network to correct satellite image classification maps, SpringerBriefs Appl. Sci. Technol, vol.55, pp.53-81, 2019. ,
Protecting your faces: Meshfaces generation and removal via highorder relation-preserving CycleGAN, International Conference on Biometrics (ICB), pp.61-68, 2018. ,
Wavelet-SRNet: A wavelet-based CNN for multi-scale face super resolution, Proceedings of the IEEE International Conference on Computer Vision, pp.1698-1697, 2017. ,
An Isotropic 3 × 3 Image Gradient Operator. Machine vision for three-dimensional scenes, pp.376-379, 1990. ,
Improving resolution by image registration, CVGIP Graph. Model. image Process, vol.53, pp.231-239, 1991. ,
Scope of validity of PSNR in image/video quality assessment, Electron. Lett, vol.44, pp.800-801, 2008. ,
Image quality assessment: from error visibility to structural similarity, IEEE Trans. image Process, vol.13, pp.600-612, 2004. ,
Nearest neighbor value interpolation, Int. J. Adv. Comput. Sci. Appl, vol.3, pp.1-6, 2012. ,
Bilinear and bicubic interpolation methods for division of focal plane polarimeters, Opt. Express, 2011. ,
Image super-resolution via sparse representation, IEEE Trans. image Process, vol.19, pp.2861-2873, 2010. ,
Fast direct super-resolution by simple functions, Proceedings of the IEEE international conference on computer vision, pp.561-568, 2013. ,
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network, Proceedings of the IEEE conference on computer vision and pattern recognition, p.26 ,
, A large scale remote sensing image classification benchmark via crowdsource data. arXiv Prepr, 2017.
Bag-of-visual-words and spatial extensions for land-use classification, Proceedings of the Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp.270-279, 2010. ,
, This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution, © 2020 by the authors. Licensee MDPI