Results 91 to 100 of about 53,858 (186)

Unsupervised hyperspectral band selection in the compressive sensing domain [PDF]

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 2019
Bernard Lampe, Adam Bekit, Charles Della Porta, Bai Xue, Chein-I Chang   +4 more
openaire   +1 more source

Unsupervised Band Selection and Segmentation in Hyper/Multispectral Images

, 2008
The title of the thesis focuses the attention on hyperspectral image segmentation, that is, we want to detect salient regions in a hyperspectral image and isolate them as accurate as possible. This purpose presents two main problems: Firstly, the fact of using hyperspectral imaging not only give us a huge amount of information, but we also have to face
openaire   +1 more source

The structural, functional, and neurophysiological connectome of mild traumatic brain injury: A DTI, fMRI and MEG multimodal clustering and data fusion study. [PDF]

Neuroimage Clin
Zhang J, Solar KG, Safar K, Zamyadi R, Vandewouw MM, Da Costa L, Rhind SG, Jetly R, Dunkley BT.   +8 more
europepmc   +1 more source

Applications and Advances of Machine Learning in the Development of Solid-State Electrolytes for Lithium-Ion Batteries. [PDF]

ACS Omega
Gao T, Wu Y.
europepmc   +1 more source

Genomic and hyperspectral imaging-based prediction blending enables selection for reduced deoxynivalenol content in wheat grains. [PDF]

G3 (Bethesda)
Concepcion JS, Noble AD, Thompson AM, Dong Y, Olson EL.   +4 more
europepmc   +1 more source

A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]

Sci Rep
Sangeetha V, Agilandeeswari L.
europepmc   +1 more source

Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification. [PDF]

Sci Rep
Kurz W, Wang K, Bektas F, Zhu C, Kariper E, Dong X, Kurz M, Jakobi M, Baranes D, Koch AW.   +9 more
europepmc   +1 more source

On the Role of Artificial Intelligent Technology for Millimetre-Wave and Terahertz Applications. [PDF]

Sensors (Basel)
Kouhalvandi L, Matekovits L.
europepmc   +1 more source

Deep Architectures Fail to Generalize: A Lightweight Alternative for Agricultural Domain Transfer in Hyperspectral Images. [PDF]

Sensors (Basel)
Pankajakshan P, Padmasanan A, Sundar S.
europepmc   +1 more source

USSGAN: Unsupervised Spectral and Spatial Attention-Based Generative Adversarial Network for Cholangiocarcinoma Detection. [PDF]

Chem Biomed Imaging
Kumar SS, Deshpande A, Nair PA, Aala S, Chinnadurai S, Dodda VC, Muniraj I, Sarker MAL, Mostafa H.   +8 more
europepmc   +1 more source