Results 41 to 50 of about 3,387 (229)

Nonlocal Spatial–Spectral Neural Network for Hyperspectral Image Denoising

open access: yes, 2022
Hyperspectral image (HSI) denoising is an essential preprocessing step to improve the quality of HSIs. The difficulty of HSI denoising lies in effectively modeling the intrinsic characteristics of HSIs, such as spatial-spectral correlation (SSC), global ...
Zhou, Jun   +4 more
core   +1 more source

Hyperspectral Superresolution Reconstruction via Decomposition of Low-Rank and Sparse Tensor

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral superresolution reconstruction technique obtains a high-resolution hyperspectral image (HR-HSI) by fusing both a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image.
Huajing Wu   +4 more
doaj   +1 more source

Maximizing Nonlocal Self‐Similarity Prior for Single Image Super‐Resolution

open access: yesMathematical Problems in Engineering, 2019
Prior knowledge plays an important role in the process of image super‐resolution reconstruction, which can constrain the solution space efficiently. In this paper, we utilized the fact that clear image exhibits stronger self‐similarity property than other degradated version to present a new prior called maximizing nonlocal self‐similarity for single ...
Jianhong Li   +2 more
openaire   +1 more source

Double-Factor Tensor Cascaded-Rank Decomposition for Hyperspectral Image Denoising

open access: yesRemote Sensing, 2023
Hyperspectral image (HSIs) denoising is a preprocessing step that plays a crucial role in many applications used in Earth observation missions. Low-rank tensor representation can be utilized to restore mixed-noise HSIs, such as those affected by mixed ...
Jie Han   +3 more
doaj   +1 more source

Self-similar variables and the problem of nonlocal electron heat conductivity [PDF]

open access: yes, 1993
Self-similar solutions of the collisional electron kinetic equation are obtained for the plasmas with one (1D) and three (3D) dimensional plasma parameter inhomogeneities and arbitrary Z{sub eff}. For the plasma parameter profiles characterized by the ratio of the mean free path of thermal electrons with respect to electron-electron collisions, {gamma}{
Krasheninnikov, S.I., Bakunin, O.G.
openaire   +2 more sources

Similarity of capacitive radio-frequency discharges in nonlocal regimes

open access: yes, 2022
Art. 113501, 7 S.Similarity transformations are essential for correlating discharges at different scales, which are mostly utilized with local field or local energy approximations.
Fu, Y.   +5 more
core   +1 more source

A nonlocal eigenvalue problem and the stability of spikes for reaction-diffusion systems with fractional reaction rates

open access: yes, 2003
We consider a nonlocal eigenvalue problem which arises in the study of stability of spike solutions for reaction-diffusion systems with fractional reaction rates such as the Sel'kov model, the Gray-Scott system, the hypercycle Eigen and Schuster ...
Winter, M   +3 more
core   +1 more source

Nonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery

open access: yesRemote Sensing, 2016
Subpixel mapping is a method of enhancing the spatial resolution of images, which involves dividing a mixed pixel into subpixels and assigning each subpixel to a definite land-cover class.
Ruyi Feng   +5 more
doaj   +1 more source

Single Remote Sensing Image Super-Resolution with an Adaptive Joint Constraint Model

open access: yesSensors, 2020
Remote sensing images have been widely used in many applications. However, the resolution of the obtained remote sensing images may not meet the increasing demands for some applications.
Lingli Fu   +4 more
doaj   +1 more source

Nonlocal Block-Term Decomposition for Hyperspectral Image Mixed Noise Removal

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Since the facility restrictions and weather conditions, hyperspectral image (HSI) is generally seriously polluted by a variety of noises. Recently, the method based on block-term decomposition with rank-$(L, L, 1)$ (BTD) has attracted wide attention in ...
Zeyu Zeng   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy