Results 21 to 30 of about 11,517,403 (217)

Non-Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection. [PDF]

Anal Sci Adv
ABSTRACT Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor‐intensive and time‐consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short‐wave ...
Joshi R, Kholiya S, Pandey H, Singh M, Tiwari A, Lim J, Sathasivam R, Faqeerzada MA, Park SU, Cho BK.   +9 more
europepmc   +2 more sources

Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding [PDF]

Advanced science
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chen C, Wen J, Sha H, Yang C, Chen Z, Feng X, Chen T, Zou W, Chen X, Ji X, Liu G, Zhang Y.   +11 more
europepmc   +2 more sources

Deep-Learning-Driven High-Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon-Limited Conditions. [PDF]

Adv Sci (Weinh)
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Li R, Wu S, Li K, An Z, Ben Y, Li G, Kumar S, Mcginty J, Hasan T, Fu S, Zhang M, Chen L.   +11 more
europepmc   +2 more sources

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]

, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei, Zabalza, Jaime, Yang, Mingqiang, Zhang, Yi, Ren, Jinchang, Marshall, Stephen, Wang, Jun   +6 more
core   +3 more sources

Classification techniques for hyperspectral remote sensing [PDF]

, 2011
This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how ...
Kam, Firmin
core   +3 more sources

Singular spectrum analysis for effective feature extraction in hyperspectral imaging [PDF]

, 2014
As a very recent technique for time series analysis, Singular Spectrum Analysis (SSA) has been applied in many diverse areas, where an original 1D signal can be decomposed into a sum of components including varying trends, oscillations and noise ...
Zabalza, Jaime, Wang, Zheng, Ren, Jinchang, Marshall, Stephen, Wang, Jun   +4 more
core   +3 more sources

Intraoperative reperfusion assessment of human pancreas allografts using hyperspectral imaging (HSI) [PDF]

Hepatobiliary Surgery and Nutrition, 2022
The most common causes of early graft loss in pancreas transplantation are insufficient blood supply and leakage of the intestinal anastomosis. Therefore, it is critical to monitor graft perfusion and oxygenation during the early post-transplant period. The goal of our pilot study was to evaluate the utility of hyperspectral imaging (HSI) in monitoring
Robert, Sucher, Uwe, Scheuermann, Sebastian, Rademacher, Andri, Lederer, Elisabeth, Sucher, Hans-Michael, Hau, Gerald, Brandacher, Stefan, Schneeberger, Ines, Gockel, Daniel, Seehofer   +9 more
openaire   +2 more sources

Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration [PDF]

Scientific Reports, 2022
AbstractTo investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface’s cartilage was assessed according to the ICRS cartilage
Kistler, Max, Köhler, Hannes, Theopold, Jan, Gockel, Ines, Roth, Andreas, Hepp, Pierre, Osterhoff, Georg   +6 more
openaire   +4 more sources

Rapid Hyperspectral Imaging System via Sub-Sampling Coding

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In recent years, with the rapid advancement of hyperspectral imaging technology, a growing number of hyperspectral reconstruction approaches have arisen.
Bingchen Wei, Zhuang Zhao, Jing Han, Jun Lu, Haocun Qi   +4 more
doaj   +1 more source

Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures

Algorithms, 2020
Hyperspectral image classification has been increasingly used in the field of remote sensing. In this study, a new clustering framework for large-scale hyperspectral image (HSI) classification is proposed.
Mohamed Ismail, Milica Orlandić
doaj   +1 more source