Results 201 to 210 of about 17,773 (259)

Entering the Era of Directly Supporting Society With Observation‐Based Ocean Acidification Data

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Ocean acidification is a growing concern for many nations around the world. However, our capacity to monitor changes in carbonate chemistry with sufficient spatial and temporal resolution, has until now, been limited, which has impeded effective action and decision‐making at international, national, and regional levels.
Helen S. Findlay, Lucile Gaultier, Luke Gregor, Nicolas Gruber, Peter Land, Daniel Ford, Roberto Sabia, Aleluia Taise‐Uili, Stephen Widdicombe, Jan Newton, Kaitlyn Lowder, Jamie Shutler   +11 more
wiley   +1 more source

Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science. [PDF]

Int J Comput Assist Radiol Surg
Tran Ba V, Hübner M, Bin Qasim A, Rees M, Sellner J, Seidlitz S, Christodoulou E, Özdemir B, Studier-Fischer A, Nickel F, Ayala L, Maier-Hein L.   +11 more
europepmc   +1 more source

Personal identification using a cross-sectional hyperspectral image of a hand. [PDF]

J Biomed Opt
Suzuki T.
europepmc   +1 more source

A Dense Pyramidal Residual Network with a Tandem Spectral-Spatial Attention Mechanism for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Guan Y, Li Z, Wang N.
europepmc   +1 more source

Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification. [PDF]

PLoS One
Ahmed T, Mahjabin Nitu A, Ibn Afjal M, Abdulla Al Mamun M, Uddin MP.   +4 more
europepmc   +1 more source

HyperKAN: Kolmogorov-Arnold Networks Make Hyperspectral Image Classifiers Smarter. [PDF]

Sensors (Basel)
Firsov N, Myasnikov E, Lobanov V, Khabibullin R, Kazanskiy N, Khonina S, Butt MA, Nikonorov A.   +7 more
europepmc   +1 more source

A broadband hyperspectral image sensor with high spatio-temporal resolution. [PDF]

Nature
Bian L, Wang Z, Zhang Y, Li L, Zhang Y, Yang C, Fang W, Zhao J, Zhu C, Meng Q, Peng X, Zhang J.   +11 more
europepmc   +1 more source

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Enhancing hyperspectral imaging

Nature Machine Intelligence, 2021
Hyperspectral imaging can reveal important information without the need for staining. To extract information from this extensive data, however, new methods are needed that can interpret the spatial and spectral patterns present in the images.
Rohit Bhargava, Kianoush Falahkheirkhah
openaire   +1 more source

Compressive Hyperspectral Imaging

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023
Conventional hyperspectral cameras encounter a trade-off between spatial and spectral samplings while capturing an input scene. To address this problem, we propose two imaging systems: Hyperspectral Light Field Tomography (Hyper-LIFT) and Tunable Image Projection Spectrometry (TIPS).
Qi Cui, Liang Gao
openaire   +1 more source

A hyperspectral image projector for hyperspectral imagers

SPIE Proceedings, 2007
We have developed and demonstrated a Hyperspectral Image Projector (HIP) intended for system-level validation testing of hyperspectral imagers, including the instrument and any associated spectral unmixing algorithms. HIP, based on the same digital micromirror arrays used in commercial digital light processing (DLP*) displays, is capable of projecting
Joseph P. Rice, Steven W. Brown, Jorge E. Neira, Robert R. Bousquet   +3 more
openaire   +1 more source