Multi-channel volume density neural radiance field for hyperspectral imaging
Hyperspectral imaging and Neural Radiance Field (NeRF) can be combined in powerful ways. With limited hyperspectral images, NeRF can generate images of objects with spectral information from arbitrary viewpoints, which can effectively mitigate defects ...
Runchuan Ma, Sailing He
doaj +1 more source
Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks
The visualization of near infrared hyperspectral images is valuable for quick view and information survey, whereas methods using band selection or dimension reduction fail to produce good colors as reasonable as corresponding multispectral images.
Rongxin Tang, Hualin Liu, Jingbo Wei
doaj +1 more source
LAND COVER CHANGE DETECTION BASED ON GENETICALLY FEATURE AELECTION AND IMAGE ALGEBRA USING HYPERION HYPERSPECTRAL IMAGERY [PDF]
The Earth has always been under the influence of population growth and human activities. This process causes the changes in land use. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes.
S. T. Seydi, M. Hasanlou
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Adaptive band selection snapshot multispectral imaging in the VIS/NIR domain
Hyperspectral imaging has proven its efficiency for target detection applications but the acquisition mode and the data rate are major issues when dealing with real-time detection applications.
Ferrec, Yann +5 more
core +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
Hyperspectral Image Change Detection Method Based on the Balanced Metric
Change detection, as a popular research direction for dynamic monitoring of land cover change, usually uses hyperspectral remote-sensing images as data sources. Hyperspectral images have rich spatial–spectral information, but traditional change detection
Xintao Liang +4 more
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A General Deep Learning Point–Surface Fusion Framework for RGB Image Super-Resolution
Hyperspectral images are usually acquired in a scanning-based way, which can cause inconvenience in some situations. In these cases, RGB image spectral super-resolution technology emerges as an alternative.
Yan Zhang +3 more
doaj +1 more source
In this work, low bandgap (≈1.55 eV) semitransparent perovskite solar cells (ST‐PSCs) having thin (thickness < ≈100 nm) perovskite layers and transparent conductive oxide‐based rear electrodes are fabricated using vacuum‐deposition methods. Two different ST‐PSCs demonstrated a high light utilization efficiency value of 4.2 (PCE: 9.26% and AVT: 45.3 ...
Abhyuday Paliwal +9 more
wiley +1 more source
Quasi‐Single‐Mode Polaritonic Crystal for Hyperbolic Phonon‐Polaritons
Near‐field study of the polaritonic Fourier crystal with α‐MoO3 reveals that the hyperbolic phonon‐polaritons within the Type‐I Reststrahlen band may form a quasi‐single‐mode Bloch wave where only the fundamental mode propagates in the crystal. Our results demonstrate the realization of a quasi‐single‐mode regime for the inherently multimode hyperbolic
Sergey G. Menabde +7 more
wiley +1 more source
Hyperspectral images segmentation: a proposal [PDF]
Hyper-Spectral Imaging (HIS) also known as chemical or spectroscopic imaging is an emerging technique that combines imaging and spectroscopy to capture both spectral and spatial information from an object. Hyperspectral images are made up of contiguous
BELLON-MAUREL, Véronique +5 more
core +1 more source

