Results 41 to 50 of about 32,344 (307)

Real-Time Hardware Acceleration of Recursive Orthogonal Subspace Projection for Automatic Hyperspectral Target Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Orthogonal subspace projection (OSP) is a widely used concept to design hyperspectral imaging techniques for data exploitation. To make OSP-based techniques applicable to real-time processing, computing OSP must be also carried out in real-time.
Minh Quan P. Tran, Chein-I Chang
doaj   +1 more source

Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model [PDF]

open access: yes, 2012
This paper studies a nonlinear mixing model for hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian
Altmann, Yoann   +3 more
core   +1 more source

COMPRESSIVE SENSING APPROACH TO HYPERSPECTRAL IMAGE COMPRESSION

open access: yesICTACT Journal on Image and Video Processing, 2018
Hyperspectral image (HSI) processing is one of the key processes in satellite imaging applications. Hyperspectral imaging spectrometers collect huge volumes of data since the image is captured across different wavelength bands in the electromagnetic ...
K S Gunasheela, H S Prasantha
doaj   +1 more source

Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery [PDF]

open access: yes, 2011
This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise.
Altmann, Yoann   +9 more
core   +1 more source

Hyperspectral Remote Sensing Image Classification With CNN Based on Quantum Genetic-Optimized Sparse Representation

open access: yesIEEE Access, 2020
Due to the characteristics of the spectrum integration, information redundancy, spectrum mixing phenomenon and nonlinearity of the hyperspectral remote sensing images, it is a major challenging task to classify the hyperspectral remote sensing images ...
Huayue Chen, Fang Miao, Xu Shen
doaj   +1 more source

Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data [PDF]

open access: yes, 2009
Hyperspectral data allows the construction of more elaborate models to sample the properties of the nonferrous materials than the standard RGB color representation.
Iriondo, Pedro M.   +4 more
core   +1 more source

Unified Framework for the Joint Super-Resolution and Registration of Multiangle Multi/Hyperspectral Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In this article, a unified framework based on rank minimization (UFRM) is proposed for use with multiangle multi/hyperspectral remote sensing images, which simultaneously integrates image super-resolution reconstruction (SRR) and image registration. With
Hang Chen   +3 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Hyperspectral Image Super-Resolution Algorithm Based on Graph Regular Tensor Ring Decomposition

open access: yesRemote Sensing, 2023
This paper introduces a novel hyperspectral image super-resolution algorithm based on graph-regularized tensor ring decomposition aimed at resolving the challenges of hyperspectral image super-resolution.
Shasha Sun   +5 more
doaj   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

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