Results 61 to 70 of about 98,568 (293)

Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation

Remote Sensing, 2020
Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Qiandong Guo, Lianru Gao   +5 more
doaj   +1 more source

A General Framework for Change Detection Using Multimodal Remote Sensing Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
A general framework for change detection is proposed to analyze multimodal remotely sensed data utilizing the Kronecker product between two data representations (vectors or matrices).
Sanid Chirakkal, Francesca Bovolo, Arundhati Ray Misra, Lorenzo Bruzzone, Avik Bhattacharya   +4 more
doaj   +1 more source

Hyperspectral Inverse Skinning

Computer Graphics Forum, 2020
AbstractIn example‐based inverse linear blend skinning (LBS), a collection of poses (e.g. animation frames) are given, and the goal is finding skinning weights and transformation matrices that closely reproduce the input. These poses may come from physical simulation, direct mesh editing, motion capture or another deformation rig.
Songrun Liu, Jianchao Tan, Zhigang Deng 0001, Yotam I. Gingold   +3 more
openaire   +3 more sources

Early Retinal UCHL1 Dysregulation Coupled With Synaptic Loss Reflects Alzheimer's Disease Severity

Advanced Science, EarlyView.
This study identifies synapse‐enriched deubiquitinase UCHL1 as an early Aβ‐responsive regulator of retinal synaptopathy in Alzheimer's disease. Retinal UCHL1 loss accompanies excitatory synapse degeneration, p75NTR activation, and neuroinflammation, and predicts Braak stage and cognitive decline. Aβ42 fibrils trigger synaptic and UCHL1 depletion before
Altan Rentsendorj, Jean‐Philippe Vit, Alexandre Hutton, Yosef Koronyo, Saba Shahin, Edward Robinson, Ernesto Barron, Anthony Rodriguez, Ousman Jallow, Julia Sheyn, Bhakta Prasad Gaire, Lalita Subedi, Miyah R. Davis, Barathan Gnanabharathi, Alexander V. Ljubimov, Stuart L. Graham, Vivek K. Gupta, Mehdi Mirzaei, Debra Hawes, Katlin Silm, Keith L. Black, Lon S. Schneider, Alfredo A. Sadun, Jesse G. Meyer, Dieu‐Trang Fuchs, Maya Koronyo‐Hamaoui   +25 more
wiley   +1 more source

High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures [PDF]

, 2012
Hyperspectral cathodoluminescence imaging provides spectrally and spatially resolved information on luminescent materials within a single dataset. Pushing the technique toward its ultimate nanoscale spatial limit, while at the same time spectrally ...
Martin, Robert W., Liu, Chaowang, Shields, Philip, Bruckbauer, Jochen, Allsopp, Duncan, Wang, Tao, Krishnan Jagadamma, Lethy, Edwards, Paul R.   +7 more
core   +3 more sources

Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]

, 2010
Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd, Schmidt, Albrecht, Tréguier, Erwan, Maël Guiheneuf, Guiheneuf, Maël, Saïd Moussaoui, Erwan Treguier, Albrecht Schmidt, Nicolas Dobigeon, Dobigeon, Nicolas, Frédéric Schmidt, Schmidt, Frédéric   +11 more
core   +1 more source

Nanoscale Optical Inhomogeneities From Compositional Segregation Within Individual GaN‐on‐Si Quantum Wells

Advanced Science, EarlyView.
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung, Tara P. Mishra, Zackaria Mahfoud, Thomas E. Gage, Jianguo Wen, Katherine P. Rice, Isabelle Martin, Li Zhang, Govindo J. Syaranamual, Stephen J. Pennycook, Silvija Gradečak, Pieremanuele Canepa, Michel Bosman   +12 more
wiley   +1 more source

Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification

Remote Sensing, 2018
Deep neural networks (DNNs) have emerged as a relevant tool for the classification of remotely sensed hyperspectral images (HSIs), with convolutional neural networks (CNNs) being the current state-of-the-art in many classification tasks.
Mercedes E. Paoletti, Juan M. Haut, Javier Plaza, Antonio Plaza   +3 more
doaj   +1 more source

Insights Into the Nature of Quantum Emitters in Electron‐Irradiated Hexagonal Boron Nitride

Advanced Science, EarlyView.
Hyperspectral imaging is used to identify quantum emitters hosted by the 2D material hexagonal boron nitride. By selecting specific emission wavelengths, one can distinguish individual emitters from ensembles and gain important insights into the atomic structure of these emitters.
Mouli Hazra, Anna Rupp, Mohammad N. Mishuk, Josefine Krause, Anand Kumar, Julien Chénedé, Mingi Kang, Bayarjargal N. Tugchin, Marijn Rikers, Isabelle Staude, Thomas Pertsch, Alexander Högele, Tobias Vogl   +12 more
wiley   +1 more source

Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li   +5 more
doaj   +1 more source