Results 81 to 90 of about 309,259 (214)
Enhancing hyperspectral image unmixing with spatial correlations [PDF]
, 2010 This paper describes a new algorithm for hyperspectral image unmixing. Most unmixing algorithms proposed in the literature do not take into account the possible spatial correlations between the pixels.
Jean-Yves Tourneret +5 more
core +1 more source
Dictionary pruning in sparse unmixing of hyperspectral data [PDF]
2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2012 Spectral unmixing is an important technique for remotely sensed hyperspectral data exploitation. When hyperspectral unmixing relies on the use of spectral libraries (dictionaries of pure spectra), the sparse regression problem to be solved is severely ill-conditioned and time-consuming.
Marian-Daniel Iordache +2 more
openaire +1 more source
Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues
Advanced Science, Volume 13, Issue 58, 19 October 2026.Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali +2 more
wiley +1 more source
A Multiscale Hierarchical Model for Sparse Hyperspectral Unmixing [PDF]
Remote Sensing, 2019 Due to the complex background and low spatial resolution of the hyperspectral sensor, observed ground reflectance is often mixed at the pixel level. Hyperspectral unmixing (HU) is a hot-issue in the remote sensing area because it can decompose the observed mixed pixel reflectance.
Zou, Jinlin, Lan, Jinhui
openaire +3 more sources
Oncolytic Virus‐Engineered Extracellular Vesicles Rewire Glioblastoma Immunity
Journal of Extracellular Vesicles, Volume 15, Issue 10, October 2026.ABSTRACT Immunotherapy with oncolytic Herpes simplex virus type 1 (oHSV‐1) shows promise for glioblastoma; however, clinical benefit remains uncommon due to tumour‐ and host‐mediated immunosuppression, which limits immune targeting of residual glioblastoma stem‐like cells (GSCs). To address this barrier, extracellular vesicles (EVs) harvested from oHSV‐
Klaudia Kiel +18 more
wiley +1 more source
Performance guarantees for sparse regression-based unmixing
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015 Sparse regression-based unmixing has received much attention in recent years; however, its theoretical performance has not been explored in the literature. In this work, we present theoretical guarantees for the performance of a sparse regression based unmixing (in short, sparse unmixing) implemented in the form of a Lasso optimization with non ...
Itoh, Yuki +2 more
openaire +3 more sources
Nonnegative Reduced Biquaternion Matrix Factorization With Applications in Color Face Recognition
Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.ABSTRACT Quaternion numbers are commonly used to represent color image pixels. Since color image pixels are nonnegative, nonnegativity constraint should be incorporated into the components of quaternion numbers. However, existing quaternion‐based matrix factorization models do not fully satisfy nonnegativity constraints.
Jifei Miao, Junjun Pan, Michael K. Ng
wiley +1 more source
Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning
Remote Sensing, 2019 Spectral unmixing extracts subpixel information by decomposing observed pixel spectra into a collection of constituent spectra signatures and their associated fractions.
Zeng Li, Jie Chen, Susanto Rahardja
doaj +1 more source
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 10, October 2026.Abstract The Scourie dyke swarm in the Lewisian foreland of northwest Scotland provides key constraints on the Paleoproterozoic evolution of the North Atlantic craton. High‐precision U‐Pb geochronology identifies two distinct intrusive phases at ∼2.41–2.38 Ga and ∼2.00 Ga.
M. Mirzaei +4 more
wiley +1 more source
Hyperspectral Image Resolution Enhancement Based on Spectral Unmixing and Information Fusion [PDF]
, 2011 Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels.
Avbelj, Janja +4 more
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