Results 281 to 290 of about 112,356 (331)

Beyond high‐throughput: leveraging plant phenotyping to improve understanding and prediction of plant growth through process‐based models

New Phytologist, Volume 250, Issue 3, Page 1468-1482, May 2026.
Summary The last decade has marked a period of rapid innovation in high‐throughput phenotyping (HTP) of plants. This includes the establishment of robotic phenotyping infrastructure, development of new sensors, and improvements in computation for downstream analysis.
To‐Chia Ting, D. Scott Mackay, Jinha Jung, Matthew P. Reynolds, Yang Yang, Diane R. Wang   +5 more
wiley   +1 more source

Hyperspectral image wavelength band and texture characteristics related to elasticity values for each body part for non-invasive skin elasticity analysis. [PDF]

Biomed Opt Express
Kim J, Lee O.
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 lightweight hyperspectral image multi-layer feature fusion classification method based on spatial and channel reconstruction. [PDF]

PLoS One
Yin Y, Zhu H, Wei L.
europepmc   +1 more source

Adaptive pixel attention network for hyperspectral image classification. [PDF]

Sci Rep
Zhao Y, Zai C, Hu N, Shi L, Zhou X, Sun J.   +5 more
europepmc   +1 more source

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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

Snapshot hyperspectral imaging

Integrated Computational Imaging Systems, 2001
Hyperspectral imaging associates a densely sampled spectral signature with each pixel in an imager’s field of view. The collected image data are in the form of a three-dimensional data set, i.e., an image cube. The image cube is also referred to as a hypercube or an object cube.
M.R. Descour, C.E. Volin, B.K. Ford, E.L. Dereniak, P.D. Maker, D.W. Wilson   +5 more
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

Handheld hyperspectral imager

SPIE Proceedings, 2010
VTT Technical Research Centre of Finland has developed a new low cost hand-held staring hyperspectral imager for applications previously blocked by high cost of the instrumentation. The system is compatible with standard video and microscope lenses. The instrument can record 2D spatial images at several wavelength bands simultaneously.
Aallos, Ville-Veikko, Holmlund, Christer, Malinen, Jouko, Mäkynen, Jussi, Saari, Heikki   +5 more
openaire   +3 more sources

Infrared upconversion hyperspectral imaging

Optics Letters, 2015
In this Letter, hyperspectral imaging in the mid-IR spectral region is demonstrated based on nonlinear frequency upconversion and subsequent imaging using a standard Si-based CCD camera. A series of upconverted images are acquired with different phase match conditions for the nonlinear frequency conversion process.
Louis Martinus, Kehlet, Peter, Tidemand-Lichtenberg, Jeppe Seidelin, Dam, Christian, Pedersen   +3 more
openaire   +2 more sources