A diagonalized improved subspace-based optimization method for solving 2-D inverse scattering problems
Sign Up to like & getrecommendations! Published in 2017 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.30679
Abstract: This letter proposes a diagonalized improved subspace-based optimization method (DISOM) by introducing the diagonal approximation to the improved subspace-based optimization method (ISOM). In the diagonal approximation which has been used in the contrast source inversion,… read more here.
Keywords: subspace based; improved subspace; based optimization; optimization method ... See more keywords
Subspace-Based Method for Direction Finding of Multiple Partially Polarized Signals
Sign Up to like & getrecommendations! Published in 2018 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2017.11.011
Abstract: We investigate the problem of direction finding for multiple Partially polarized (PP) electromagnetic signals, each of which possesses two spatial degrees of freedom. We use a uniform linear array of L sensors, where each consists… read more here.
Keywords: direction finding; partially polarized; direction; subspace based ... See more keywords
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO PREDICT FUNCTIONAL OUTCOME OF THE ARTERIOVENOUS FISTULAS - PROOF OF CONCEPT MODEL
Sign Up to like & getrecommendations! Published in 2020 at "Transplantation"
DOI: 10.1097/01.tp.0000700744.59153.06
Abstract: Introduction: Optimal access for haemodialysis is in the form of Arteriovenous Fistula (AVF) for majority of patients. Failure of AVF not only leads to a major burden on the NHS but more importantly is a… read more here.
Keywords: machine; ensemble algorithms; machine learning; subspace based ... See more keywords
Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3140211
Abstract: Hyperspectral and multispectral image fusion aims to fuse a low-spatial-resolution hyperspectral image (HSI) and a high-spatial-resolution multispectral image to form a high-spatial-resolution HSI. Motivated by the success of model- and deep learning-based approaches, we propose… read more here.
Keywords: subspace based; model; fusion; multispectral image ... See more keywords
Hyperspectral Image Superresolution via Subspace-Based Deep Prior Regularization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3249202
Abstract: Hyperspectral imaging is able to provide a finer delivery of various material properties than conventional imaging systems. Yet in reality, an optical system can only generate data with high spatial resolution but low spectral one,… read more here.
Keywords: prior regularization; deep prior; subspace based; based deep ... See more keywords
Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2755061
Abstract: This letter introduces a new spectral–spatial classification method for hyperspectral images. A multiscale superpixel segmentation is first used to model the distribution of classes based on spatial information. In this context, the original hyperspectral image… read more here.
Keywords: classification; multiscale superpixel; subspace based; hyperspectral image ... See more keywords
Pseudo Noise Subspace based DOA Estimation for Unfolded Coprime Linear Arrays
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3091989
Abstract: To achieve a better tradeoff between the direction-of-arrival (DOA) estimation resolution and complexity compared to the existing sparse array based estimators, this letter proposes a pseudo noise subspace based DOA estimator for an unfolded coprime… read more here.
Keywords: pseudo noise; subspace based; doa estimation; subspace ... See more keywords
Subspace-Based Distorted-Born Iterative Method for Solving Inverse Scattering Problems
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2017.2766658
Abstract: The electromagnetic inverse scattering problem can be effectively handled by means of the so-called distorted-Born iterative method (DBIM). A new method, denoted as the subspace-based DBIM (S-DBIM), is proposed. It updates the Green’s function for… read more here.
Keywords: iterative method; born iterative; subspace based; method ... See more keywords
Application of Subspace-Based Distorted-Born Iteration Method in Imaging Biaxial Anisotropic Scatterer
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2020.3032673
Abstract: Various natural and artificial materials are anisotropic. The inverse scattering problem of anisotropic scatterers is widely involved in oil detection, nondestructive evaluation of composite materials and microscopic imaging of biological tissue. In this contribution, the… read more here.
Keywords: anisotropic; anisotropic scatterer; method; biaxial anisotropic ... See more keywords
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3128584
Abstract: In this article, we propose an evolutionary algorithm based on layered prediction (LP) and subspace-based diversity maintenance (SDM) for handling dynamic multiobjective optimization (DMO) environments. The LP strategy takes into account different levels of progress… read more here.
Keywords: population; layered prediction; prediction subspace; subspace based ... See more keywords
SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3217162
Abstract: In this article, an unrolling algorithm of the iterative subspace-based optimization method (SOM) is proposed for solving full-wave inverse scattering problems (ISPs). The unrolling network, named SOM-Net, inherently embeds the Lippmann–Schwinger physical model into the… read more here.
Keywords: permittivity; som net; solving full; based optimization ... See more keywords