Results 41 to 50 of about 270,656 (363)

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu   +6 more
doaj   +1 more source

GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2019
Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral imagery, CD technology has been greatly promoted, as hyperspectral data ...
Qi Wang   +3 more
semanticscholar   +1 more source

Fusion of Various Band Selection Methods for Hyperspectral Imagery

open access: yesRemote Sensing, 2019
This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang   +3 more
doaj   +1 more source

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

open access: yes, 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 ...
Chaowang Liu   +9 more
core   +1 more source

Endmember Estimation with Maximum Distance Analysis

open access: yesRemote Sensing, 2021
Endmember estimation plays a key role in hyperspectral image unmixing, often requiring an estimation of the number of endmembers and extracting endmembers.
Xuanwen Tao   +5 more
doaj   +1 more source

Metasurface-empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory

open access: yesNature Communications, 2023
Hyperspectral imaging is vital for material identification but traditional systems are bulky, hindering the development of compact systems. While previous metasurfaces address volume issues, the requirements of complicated fabrication processes and ...
Chia-Hsiang Lin   +3 more
semanticscholar   +1 more source

Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In the classic sparse representation (SR)-based models and their improved versions with the spatial consistency, such as joint representation (JR)-based frameworks, the sparse coefficient is generally considered with the dictionary together for ...
Haoyang Yu   +4 more
doaj   +1 more source

Characterizing and controlling infrared phonon anomaly of bilayer graphene in optical-electrical force nanoscopy

open access: yesLight: Science & Applications, 2023
We, for the first time, report the nanoscopic imaging study of anomalous infrared (IR) phonon enhancement of bilayer graphene, originated from the charge imbalance between the top and bottom layers, resulting in the enhancement of E1u mode of bilayer ...
Junghoon Jahng   +8 more
doaj   +1 more source

Unmixing of Hyperspectral Data Using Robust Statistics-based NMF

open access: yes, 2012
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra and abundance fractions.
Ghassemian, Hassan, Rajabi, Roozbeh
core   +1 more source

Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data [PDF]

open access: yes, 2019
To understand processes in urban environments, such as urban energy fluxes or surface temperature patterns, it is important to map urban surface materials. Airborne imaging spectroscopy data have been successfully used to identify urban surface materials
Feilhauer, Hannes   +3 more
core   +2 more sources

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