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Forsíða

Forsíða

Jakob Sigurðsson - Professor

Jakob Sigurðsson

–

School of Engineering and Natural Sciences

Jakob Sigurðsson

Professor

Location
VR-2 / V02-358
Phone
5254620 8638599
Email
jakobs [at] hi.is

Unit
Faculty of Electrical and Computer Engineering

Consultation hours
By appointment.
ORCID site
https://orcid.org/0000-0002-4978-9722
Research portal – Jakob Sigurðsson

Published works

2025

A Learned Reduced-Rank Sharpening Method for Multiresolution Satellite ImageryRemote Sensing

2024

Automated Mapping of Lava

2023

Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling
Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification
Superresolving Sentinel-2 Using Learned Multispectral Regularization

2022

Deep Sparse and Low-Rank Prior for Hyperspectral Image Denoising
Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based MethodRemote Sensing

2021

FUSING SENTINEL-2 SATELLITE IMAGES AND AERIAL RGB IMAGES
Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893)
A comparison of optimized sentinel-2 super-resolution methods using wald’s protocol and bayesian optimizationRemote Sensing
TUNING PARAMETER SELECTION FOR SENTINEL-2 SHARPENING USING WALD'S PROTOCOL

2020

Zero-Shot Sentinel-2 Sharpening Using a Symmetric Skipped Connection Convolutional Neural Network
Creating RGB Images from Hyperspectral Images Using a Color Matching Function

2019

Weighted Blind ℓ_q Hyperspectral Unmixing

2018

Blind nonlinear hyperspectral unmixing using an ℓ_Q regularizer
Hyperspectral Unmixing Using a Neural Network AutoencoderIEEE Access
Parameter Estimation for Blind l<sub>q</sub> Hyperspectral Unmixing Using Bayesian Optimization
Blind sparse nonlinear hyperspectral unmixing using an ℓ_q penaltyIEEE Geoscience and Remote Sensing Letters

2017

Sparse and low rank hyperspectral unmixing
Neural network hyperspectral unmixing with spectral information divergence objective
Fast multitemporal hyperspectral unmixing
Sparse Distributed Multitemporal Hyperspectral UnmixingIEEE Transactions on Geoscience and Remote Sensing

2016

Classification of Big Data with Application to Imaging GeneticsProceedings of the IEEE
Distributed dyadic cyclic descent for non-negative matrix factorization
Sparse distributed hyperspectral unmixing
Blind Hyperspectral Unmixing Using Total Variation and ℓ_q Sparse RegularizationIEEE Transactions on Geoscience and Remote Sensing

2015

Total variation and ℓ_q based hyperspectral unmixing for feature extraction and classification

2014

Hyperspectral Unmixing Using ℓq PenaltyIEEE Transactions on Geoscience and Remote Sensing
Hyperspectral unmixing with <sub>q</sub> regularizationIEEE Transactions on Geoscience and Remote Sensing
Endmember constrained semi-supervised hyperspectral unmixing
Semi-supervised hyperspectral unmixing

2013

Sparse representation of hyperspectral data using CUR matrix decomposition
Smooth and sparse hyperspectral unmixing using an l₀ penalty
Wavelet based sparse Principal Component Analysis for hyperspectral denoising
First order roughness penalty for hyperspectral image denoising
Smooth spectral unmixing using total variation regularization and a first order roughness penalty

2012

A smooth hyperspectral unmixing method using cyclic descent

2010

Smooth noisy PCA using a 1<sup>st</sup> order roughness penalty

2001

Automated genotyping

1998

Feature extraction based on LOOC estimation

Keywords for Specialisation:

Statistical signal processing

Hyperspectral data analysis