Pupil Plane Multiplexing for Vectorial Fourier Ptychography
This study proposes a cost‐effective, modality‐adaptive multichannel microscopy framework using pupil‐plane multiplexing. A custom pupil aperture at the Fourier plane encodes channel‐specific transfer functions with spectral or polarization filters, and model‐based reconstruction with channel‐dependent priors decodes them.
Hyesuk Chae +5 more
wiley +1 more source
Potential of Snapshot-Type Hyperspectral Imagery Using Support Vector Classifier for the Classification of Tomatoes Maturity. [PDF]
Cho BH, Kim YH, Lee KB, Hong YK, Kim KC.
europepmc +1 more source
NIR/VIS Dual‐Comb Spectroscopy Comparing High and Low Repetition Rate Regimes
This work compares dual‐comb spectroscopy at lower and higher repetition rates, emphasizing the inherent trade‐off between spectral and temporal resolution. The 80 MHz system provides high‐resolution spectra suitable for analyzing complex molecular structures, whereas the free‐running 1 GHz platform enables fast measurements for real‐time trace gas ...
Alexander Eber +6 more
wiley +1 more source
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. [PDF]
Tagliabue G +11 more
europepmc +1 more source
Bathymetry from hyperspectral imagery
This work used hyperspectral imagery to derive shallow water depth estimates. A technique to classify substrates and estimate reflectance values for the substrate types is the major contributions of this work. This was accomplished by masking different bottom types based on spectra, effects that were not included in previous methods.
openaire +1 more source
Anisotropy Analysis of Bamboo and Tooth Using 4‐Angle Polarization Micro‐Spectroscopy
Super‐resolution via orientation: spatial distribution of specific molecular vibrations are revealed at 1/20 of the diffraction limit. ABSTRACT To investigate the anisotropic properties of biomaterials, two distinct classes are considered as follows: polymer‐based (cellulose in plants) and crystalline‐based (enamel in teeth), each demonstrating ...
Meguya Ryu +8 more
wiley +1 more source
Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery. [PDF]
Wu H +5 more
europepmc +1 more source
Hyperspectral signatures reveal hidden stress in soybean caused by residual nicosulfuron
Residual nicosulfuron in soil triggers a distinct injury–regulation–collapse trajectory in soybean. Multimodal phenotyping combining hyperspectral, UV‐MCF, and chlorophyll fluorescence imaging enables early, non‐invasive detection and dynamic monitoring of latent herbicide stress, offering a mechanistic basis for risk assessment in crop rotation ...
Shufei Hao +5 more
wiley +1 more source
The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam +3 more
doaj +1 more source
The synergic approach between machine learning, chemometrics, and NIR hyperspectral imagery for a real-time, reliable, and accurate prediction of mass loss in cement samples. [PDF]
Diane A, Saffaj T, Ihssane B, Rabie R.
europepmc +1 more source

