Results 61 to 70 of about 309,259 (214)

Zero‐shot learning enabled image enhancement in Bessel beam light sheet fluorescence microscopy

VIEW, EarlyView.
A physics‐guided, unsupervised deep learning‐based image restoration framework for Bessel beam light sheet fluorescence microscopy that suppresses side‐lobe‐induced artifacts is presented. The proposed zero‐shot approach achieved 2.2‐fold increase in signal‐to‐noise ratio and 89% contrast improvement in mouse kidney tissue images, demonstrating its ...
Yujie Dong, Gautam Hegde, C. S. Suchand Sandeep, Maria Merin Antony, Murukeshan Vadakke Matham   +4 more
wiley   +1 more source

Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing [PDF]

, 2020
Hyperspectral unmixing is an important step to learn the material categories and corresponding distributions in a scene. Over the past decade, nonnegative matrix factorization (NMF) has been utilized for this task, thanks to its good physical ...
Zhou, Jun, Qian, Yuntao, Xiong, Fengchao, Lu, Jianfeng, Jun Zhou, Yuntao Qian, Jianfeng Lu, Fengchao Xiong   +7 more
core   +1 more source

Geochemical and granulometric fingerprints of 8200 years of westerly wind variability in inner‐fjord lake sediments from Svalbard

Boreas, EarlyView.
The Arctic is warming faster than any other region on Earth. As sea ice diminishes, the surface boundary conditions, such as roughness and air–sea coupling, change and open‐water fetch increases. This may enhance wind forcing on Arctic coasts. Lake sediments can record these changes through the deposition of wind‐blown grains and elements, offering ...
Zofia Stachowska, Willem G. M. van der Bilt, Jan Kavan, Mark F. A. Furze, Ingunn H. Thorseth, Mateusz C. Strzelecki   +5 more
wiley   +1 more source

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

Computer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang, John Restrepo, Xun Cao, Ivo Ihrke   +3 more
wiley   +1 more source

Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016
Hyperspectral image (HSI) unmixing has attracted increasing research interests in recent decades. The major difficulty of it lies in that the endmembers and the associated abundances need to be separated from highly mixed observation data with few a priori information.
Wenhong Wang 0004, Yuntao Qian, Yuan Yan Tang   +2 more
openaire   +2 more sources

Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Hyperspectral unmixing is a crucial task for hyperspectral images (HSIs) processing, which estimates the proportions of constituent materials of a mixed pixel. Usually, the mixed pixels can be approximated using a linear mixing model. Since each material
Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin Hancock   +7 more
doaj   +1 more source

A Multi-Attention Autoencoder for Hyperspectral Unmixing Based on the Extended Linear Mixing Model

Remote Sensing, 2023
Hyperspectral unmixing, which decomposes mixed pixels into the endmembers and corresponding abundances, is an important image process for the further application of hyperspectral images (HSIs).
Lijuan Su, Jun Liu, Yan Yuan, Qiyue Chen
doaj   +1 more source

Microscopy insights into reef coral fluorescent proteins: Diversity, light energy transfer and biological function

Journal of Microscopy, EarlyView.
Abstract Fluorescent proteins (FPs) and chromoproteins (CPs) of reef‐building corals, which generate much of their vivid colouration, occupy a distinctive position at the interface of natural photonics, symbiosis biology and fluorescence microscopy.
Anya Salih
wiley   +1 more source

Superpixel Weighted Low-rank and Sparse Approximation for Hyperspectral Unmixing

, 2022
We propose a superpixel weighted low-rank and sparse unmixing (SWLRSU) method for sparse unmixing. The proposed method consists of two steps. In the first step, we segment hyperspectral image into superpixels which are defined as the homogeneous regions ...
Hasari Karci (11886522), Taner Ince (11886482), Tugcan Dundar (11886487), Seydi Kacmaz (11886521)   +3 more
core   +1 more source

Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the aid of endmember spectral libraries, sparse unmixing plays a critical role in interpreting hyperspectral remote sensing data. Integrating spatial clues from hyperspectral data into sparse unmixing frameworks is pivotal for enhancing unmixing ...
Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su   +7 more
doaj   +1 more source