Localization for spatial–spectral implementations of 1D Analytic Boussinesq equations
Sign Up to like & getrecommendations! Published in 2017 at "Wave Motion"
DOI: 10.1016/j.wavemoti.2017.02.002
Abstract: Accurate simulations of waves in oceanic and coastal areas should take dispersive effects over a large range of frequencies into account in the relevant order of nonlinearity of the equation. Taking the exact Hamiltonian–Boussinesq formulation… read more here.
Keywords: localization spatial; boussinesq; spatial spectral; spectral implementations ... See more keywords
Strong Spatial and Spectral Localization of Surface Plasmons in Individual Randomly Disordered Gold Nanosponges.
Sign Up to like & getrecommendations! Published in 2018 at "Nano letters"
DOI: 10.1021/acs.nanolett.8b01785
Abstract: Porous nanosponges, percolated with a three-dimensional network of 10 nm sized ligaments, recently emerged as promising substrates for plasmon-enhanced spectroscopy and (photo)catalysis. Experimental and theoretical work suggests surface plasmon localization in some hot-spot modes as… read more here.
Keywords: gold nanosponges; spatial spectral; strong spatial; spectral localization ... See more keywords
Scalable Spatial-Spectral Multiplexing of Single-Virus Detection Using Multimode Interference Waveguides
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-12487-0
Abstract: Simultaneous detection of multiple pathogens and samples (multiplexing) is one of the key requirements for diagnostic tests in order to enable fast, accurate and differentiated diagnoses. Here, we introduce a novel, highly scalable, photonic approach… read more here.
Keywords: detection; single virus; spatial spectral; multimode interference ... See more keywords
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938708
Abstract: Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of information contained in these images makes difficult providing the surgeon with information… read more here.
Keywords: implementations assessment; classifier hyperspectral; spectral classifier; assessment spatial ... See more keywords
Hyperspectral Image Super-Resolution Based on Tensor Spatial-Spectral Joint Correlation Regularization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2982494
Abstract: Compared with natural image super-resolution, hyperspectral image super-resolution (HSR) is more complex because the redundancy in spectral bands and spatial information. To overcome the difficulties exist in HSR, in this paper, we propose a tensor… read more here.
Keywords: image super; resolution; super resolution; joint correlation ... See more keywords
MIMO Radar Waveform Joint Optimization in Spatial-Spectral Domain for Anti-Interference
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3131652
Abstract: Aiming at the target detection problem of MIMO radar under the condition of both spatial and spectral domain interferences, a waveform design method for MIMO radar based on joint optimization of spatial and spectral domain… read more here.
Keywords: spectral domain; mimo radar; optimization; radar ... See more keywords
Compressive Hyperspectral Imaging With Spatial and Spectral Priors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2873918
Abstract: This paper proposes a new compressive hyperspectral imaging method, including the design of a cost-effective distributed sampling (DS) scheme and an efficient reconstruction model. The new sampling scheme, named as distributed separate sampling (DSS), encodes… read more here.
Keywords: spectral priors; hyperspectral imaging; spatial spectral; tex math ... See more keywords
Hyperspectral Image Classification With Global–Local Discriminant Analysis and Spatial–Spectral Context
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2878336
Abstract: Hyperspectral images (HSIs) obtained from remote sensing contain abundant information of ground objects, and precise analysis of landcover depends on effective and efficient classification of HSIs into homogeneous ground regions. While many advanced algorithms have been… read more here.
Keywords: classification; spatial spectral; analysis; global local ... See more keywords
Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior Constrained Maximum Simplex Volume Approach
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2981402
Abstract: Endmember extraction algorithms (EEAs) are among the most commonly discussed types of hyperspectral image processing in the past three decades. This article proposes a spatial energy prior constrained maximum simplex volume (SENMAV) approach for spatial-spectral… read more here.
Keywords: endmember extraction; spatial energy; spatial spectral; energy prior ... See more keywords
Multiscale 2-D Singular Spectrum Analysis and Principal Component Analysis for Spatial–Spectral Noise-Robust Feature Extraction and Classification of Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3040699
Abstract: In hyperspectral images (HSI), most feature extraction and data classification methods rely on corrected dataset, in which the noisy and water absorption bands are removed. This can result in not only extra working burden but… read more here.
Keywords: feature extraction; classification; noise robust; spatial spectral ... See more keywords
Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3111404
Abstract: Recently, deep learning-based methods are proposed for hyperspectral images (HSIs) denoising. Among them, unsupervised methods such as deep image prior (DIP)-based methods have received much attention because these methods do not require any training data.… read more here.
Keywords: based methods; image prior; deep image; dip based ... See more keywords