Results 31 to 40 of about 6,103 (201)
Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection
Remote Sensing, 2021 Hyperspectral images (HSIs) often contain pixels with mixed spectra, which makes it difficult to accurately separate the background signal from the anomaly target signal.
Genping Zhao +4 more
doaj +1 more source
Deep Spectral Convolution Network for Hyperspectral Unmixing [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 In this paper, we propose a novel hyperspectral unmixing technique based on deep spectral convolution networks (DSCN). Particularly, three important contributions are presented throughout this paper. First, fully-connected linear operation is replaced with spectral convolutions to extract local spectral characteristics from hyperspectral signatures ...
Ozkan, Savas, Akar, Gozde Bozdagi
openaire +2 more sources
Mixed Fluids of Water and Carbon Dioxide
Geophysical Monograph Series, Page 237-243., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Evan Abramson
wiley +1 more source
Egyptian Journal of Remote Sensing and Space SciencesHyperspectral image unmixing has garnered considerable attention across various application domains, particularly remote sensing applications. However, relying solely on one modality to distinguish objects with similar spectral information presents ...
M Sreejam, L Agilandeeswari
doaj +1 more source
Remote Sensing, 2020 Clay minerals play an important role in shrinking–swelling of soils and off–road vehicle mobility mainly due to the presence of smectites including montmorillonites.
Etienne Ducasse +5 more
doaj +1 more source
Spectral Unmixing of Multispectral Lidar Signals
IEEE Transactions on Signal Processing, 2015 In this paper, we present a Bayesian approach for spectral unmixing of multispectral Lidar (MSL) data associated with surface reflection from targeted surfaces composed of several known materials. The problem addressed is the estimation of the positions and area distribution of each material.
Altmann, Yoann +2 more
openaire +2 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Remote Sensing, 2018 Spectral unmixing is a popular technique for hyperspectral data interpretation. It focuses on estimating the abundance of pure spectral signature (called as endmembers) in each observed image signature.
Xiangrong Zhang +6 more
doaj +1 more source
Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications
Advanced Optical Materials, EarlyView.This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei +5 more
wiley +1 more source
Advanced Science, EarlyView.Spermatogonial stem cells (SSCs) provide critical support to spermatogenesis. Here, the author established Il1r2 as a sorting marker for SSCs, with which further insights into the SSC heterogeneity and dynamic features can be obtained. They also confirmed findings in both mouse and human, thus validating IL1R2 as the surface marker for isolating and ...
Pengyu Li +19 more
wiley +1 more source