research
∙
02/07/2019
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
Supervised classification and representation learning are two widely use...
share
research
∙
06/12/2018
An Extension of Averaged-Operator-Based Algorithms
Many of the algorithms used to solve minimization problems with sparsity...
research
∙
03/12/2018
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
The Sentinel-2 satellite mission delivers multi-spectral imagery with 13...
research
∙
10/11/2016
Restoring STM images via Sparse Coding: noise and artifact removal
In this article, we present a denoising algorithm to improve the interpr...
research
∙
04/06/2016
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
This paper proposes a robust fast multi-band image fusion method to merg...
research
∙
03/29/2016
Multi-Band Image Fusion Based on Spectral Unmixing
This paper presents a multi-band image fusion algorithm based on unsuper...
research
∙
02/03/2016
A Framework for Fast Image Deconvolution with Incomplete Observations
In image deconvolution problems, the diagonalization of the underlying o...
research
∙
09/03/2015
Image Classification with Rejection using Contextual Information
We introduce a new supervised algorithm for image classification with re...
research
∙
07/07/2015
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
The dictionary-aided sparse regression (SR) approach has recently emerge...
research
∙
05/07/2015
Fast Spectral Unmixing based on Dykstra's Alternating Projection
This paper presents a fast spectral unmixing algorithm based on Dykstra'...
research
∙
04/29/2015
Robust hyperspectral image classification with rejection fields
In this paper we present a novel method for robust hyperspectral image c...
research
∙
04/27/2015
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization
We present a supervised hyperspectral image segmentation algorithm based...
research
∙
04/10/2015
Performance measures for classification systems with rejection
Classifiers with rejection are essential in real-world applications wher...
research
∙
11/14/2014
A convex formulation for hyperspectral image superresolution via subspace-based regularization
Hyperspectral remote sensing images (HSIs) usually have high spectral re...
research
∙
09/19/2014
Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
This paper presents a variational based approach to fusing hyperspectral...
research
∙
03/31/2014
Hyperspectral image superresolution: An edge-preserving convex formulation
Hyperspectral remote sensing images (HSIs) are characterized by having a...
research
∙
06/13/2011