Results 51 to 60 of about 109,457 (327)
Hyperspectral Image Super-Resolution Algorithm Based on Graph Regular Tensor Ring Decomposition
Remote Sensing, 2023 This paper introduces a novel hyperspectral image super-resolution algorithm based on graph-regularized tensor ring decomposition aimed at resolving the challenges of hyperspectral image super-resolution.
Shasha Sun +5 more
doaj +1 more source
Further results on dissimilarity spaces for hyperspectral images RF-CBIR
, 2013 Content-Based Image Retrieval (CBIR) systems are powerful search tools in image databases that have been little applied to hyperspectral images. Relevance feedback (RF) is an iterative process that uses machine learning techniques and user's feedback to ...
Datcu, Mihai +2 more
core +3 more sources
GeAl2‐2xFe2xO3(OH)4 Nanotubes: New Electrocatalyst for Oxygen Evolution Reaction
Advanced Functional Materials, EarlyView.Fe‐doped imogolite nanotubes are synthesized via a one‐step hydrothermal method with varying Fe substitution ratios x. Structural and spectroscopic analyses confirm homogeneous Fe incorporation while preserving tubular shape. Optimal doping at x = 0.05 enhances optical absorption, narrows band gap, reduces charge transfer resistance, and significantly ...
Yassine Naciri +12 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Advances in Electrical and Computer Engineering, 2017 Hyperspectral pixels which have high spectral resolution are used to predict decomposition of material types on area of obtained image. Due to its multidimensional form, hyperspectral image classification is a challenging task. Hyperspectral images are
AKYUREK, H. A., KOCER, B.
doaj +1 more source
Remote Sensing, 2020 Hyperspectral imaging has many applications. However, the high device costs and low hyperspectral image resolution are major obstacles limiting its wider application in agriculture and other fields.
Jiangsan Zhao +6 more
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Rapid Hyperspectral Imaging System via Sub-Sampling Coding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In recent years, with the rapid advancement of hyperspectral imaging technology, a growing number of hyperspectral reconstruction approaches have arisen.
Bingchen Wei +4 more
doaj +1 more source
, 2016 The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Foreword to the Special Issue on Hyperspectral Image and Signal Processing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 This special issue presents advances in signal and image processing related to hyperspectral remote sensing (or imaging spectroscopy). We present the selected 32 articles, which distill the state-of-the-art and the advances in hyperspectral image ...
J. Chanussot, X. Zhu, Y. Gu
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