Results 51 to 60 of about 12,062 (243)
A split-and-merge approach for hyperspectral band selection [PDF]
, 2017 International audienceThe problem of band selection (BS) is of great importance to handle the curse of dimensionality for hyperspectral image (HSI) applications (e.g., classification). This letter proposes an unsupervised BS approach based on a split-and-
Rashwan, Shaheera +3 more
core +1 more source
A Review of Unsupervised Band Selection Techniques: Land Cover Classification for Hyperspectral Earth Observation Data [PDF]
, 2021 A hyperspectral image (HSI) is a collection of several narrow-band images that span a wide spectral range. Each band reflects the same scene, composed of various objects imaged at different wavelengths; the spatial information, however, remains generally
Biswal P. K. +3 more
core +1 more source
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
IEEE Access, 2021 Hyperspectral imaging (HSI) is an optical remote sensing technology that has the advantages of high spatial and spectral resolution. Aside from its use in geographical research, HSI has been widely used in medical diagnosis. Systemic sclerosis (SSc) is a
Hsian-Min Chen +5 more
doaj +1 more source
A novel band selection and spatial noise reduction method for hyperspectral image classification. [PDF]
, 2022 As an essential reprocessing method, dimensionality reduction (DR) can reduce the data redundancy and improve the performance of hyperspectral image (HSI) classification.
Fu, Hang +6 more
core +2 more sources
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Classification techniques applied to hyperspectral images are very useful for lithologic discrimination and geological mapping. Classifiers are often applied either to all spectral channels or only to absorption spectral channels.
Yulei Tan +5 more
doaj +1 more source
Band Subset Selection Approaches Based on Band Grouping and Self-Sparse Representation for Hyperspectral Imagery [PDF]
, 2021 Hyperspectral Imaging (HSI) provides huge information which contains large of redundancy due to its inherent nature. The enormous data volume of HSI also causes the issues of long processing time and data storage.
Chen, Yang-Jhu
core
FEBS Open Bio, EarlyView.The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer +7 more
wiley +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source