Journal ArticleDOI
Image super-resolution
TLDR
This paper aims to provide a review of SR from the perspective of techniques and applications, and especially the main contributions in recent years, and discusses the current obstacles for future research.About:
This article is published in Signal Processing.The article was published on 2016-11-01. It has received 378 citations till now.read more
Citations
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Journal ArticleDOI
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era.
TL;DR: This review provides both the exoteric introduction of deep learning, and concrete examples and implementations of its representative applications in bioinformatics, and introduces deep learning in an easy-to-understand fashion.
Journal ArticleDOI
Computational intelligence in optical remote sensing image processing
TL;DR: An overview of the application of computational intelligence technologies in optical remote sensing image processing, including: 1) feature representation and selection; 2) classification and clustering; and 3) change detection are provided.
Journal ArticleDOI
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network
TL;DR: In this article, a spatial-spectral gradient network (SSGN) is proposed for mixed noise removal in hyperspectral images. But the proposed method employs a spatial gradient learning strategy, in consideration of the unique spatial structure directionality of sparse noise and spectral differences with additional complementary information for effectively extracting intrinsic and deep features of HSIs.
Journal ArticleDOI
UAV & satellite synergies for optical remote sensing applications: A literature review
TL;DR: The high potential of this synergy seems currently under-exploited; therefore a discussion is proposed about the related implications for data interoperability, machine learning and data sharing to reinforce synergies between UAVs and satellites.
Journal ArticleDOI
A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
Juan M. Haut,Ruben Fernandez-Beltran,Mercedes E. Paoletti,Javier Plaza,Antonio Plaza,Filiberto Pla +5 more
TL;DR: A new convolutional generator model is proposed to super-resolve low-resolution (LR) remote sensing data from an unsupervised perspective and is able to initially learn relationships between the LR and HR domains throughout several convolutionals, downsampling, batch normalization, and activation layers.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Book
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Journal ArticleDOI
Regularization and variable selection via the elastic net
Hui Zou,Trevor Hastie +1 more
TL;DR: It is shown that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation, and an algorithm called LARS‐EN is proposed for computing elastic net regularization paths efficiently, much like algorithm LARS does for the lamba.
Journal ArticleDOI
Nonlinear total variation based noise removal algorithms
TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.