A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Fusing Hyperspectral and Multispectral Images via Low-Rank Hankel Tensor Representation
2022
Remote Sensing
Preserved Fulltext
To solve this problem, we propose a higher-order Hankel space-based hyperspectral image-multispectral image (HSI-MSI) fusion method in this paper. ...
Current SR methods have generally focused on the direct utilization of image structure priors, which are often modeled in global or local lower-order image space. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs14184470
fatcat:vj5m2gibjven3pf2ext6gnhpwq
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing (RS) imaging has provided a significant amount of spatial and spectral information for the observation and analysis ...
For each topic, we elaborate on the remarkable achievements of tensor decomposition models for HS RS with a pivotal description of the existing methodologies and a representative exhibition on the experimental ...
[78] improved CP decomposition-based method by adding a nonlocal tensor extraction module. 2) Tucker Decomposition Model: Li et al. ...
arXiv:2205.06407v1
fatcat:kldm6si6arcgldh3qwjtprr5hu
Variational Fusion of Hyperspectral Data by Non-Local Filtering
2021
Mathematics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The fusion of multisensor data has attracted a lot of attention in computer vision, particularly among the remote sensing community. ...
In this paper, we propose a variational fusion model with a nonlocal regularization term that encodes patch-based filtering conditioned to the geometry of the multispectral data. ...
[38] suggested a fusion method based on the decomposition of the HS data using non-negative matrix factorization (NMF). ...
doi:10.3390/math9111265
fatcat:ir2ikzradrbsdhx3xpga3px5jq
Hyperspectral Super-Resolution Via Joint Regularization of Low-Rank Tensor Decomposition
2021
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In this paper, the hyperspectral image super-resolution problem is transformed into a joint regularization optimization problem based on tensor decomposition and solved by a hybrid framework between the ...
This model alleviates the problem that the traditional HSI-SR method, based on tensor decomposition, fails to adequately take into account the manifold structure of high-dimensional HR-HSI and is sensitive ...
Acknowledgments: The authors would like to thank the Key Laboratory of Images and Graphics Intelligent Processing of State Ethnic Affairs Commission: IGIPLab for their support. ...
doi:10.3390/rs13204116
fatcat:ncobbkpz5zh6xkaei6r7yrnxmq
Hyperspectral-Multispectral Image Fusion via Tensor Ring and Subspace Decompositions
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In this work, we propose a new model, namely lowrank tensor ring decomposition based on tensor nuclear norm (LRTRTNN), for HSI-MSI fusion. ...
Fusion from a spatially low resolution hyperspectral image (LR-HSI) and a spectrally low resolution multispectral image (MSI) to produce a high spatial-spectral HSI (HR-HSI), known as Hyperspectral super-resolution ...
a major amount of comprehensive applications on anomaly detection [1] , [2] , remote sensing [3] - [8] , and classification [9] , [10] , etc. ...
doi:10.1109/jstars.2021.3108233
fatcat:65v7uz2vufg6pa4xbqww7yn664
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Hyperspectral imaging, also known as image spectrometry, is a landmark technique in geoscience and remote sensing (RS). ...
However, with the ever-growing volume of data, the bulk of costs in manpower and material resources poses new challenges on reducing the burden of manual labor and improving efficiency. ...
A further modified work based on [108] is proposed via weighted nonlocal low-rank tensor decomposition for sparse HS unmixing. ...
arXiv:2103.01449v1
fatcat:jvo4pr5atvfb5kohpslvkhhmky
2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30
2020
IEEE transactions on circuits and systems for video technology (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., see Sepas-Moghaddam, A., TCSVT Dec. 2020 4496-4512 Hassanpour, H., see Khosravi, M.H., TCSVT Jan. 2020 48-58 Hatzinakos, D., see 2900-2916 Hayat, M., see 2900-2916 He, C., Hu, Y., Chen, Y., Fan ...
., +, TCSVT Nov. 2020 3968-3981
A New Multi-Focus Image Fusion Algorithm and Its Efficient Implementa-
tion. ...
., +, TCSVT April 2020 970-982
Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing
Components in Image Data. ...
doi:10.1109/tcsvt.2020.3043861
fatcat:s6z4wzp45vfflphgfcxh6x7npu
2021 Index IEEE Transactions on Cybernetics Vol. 51
2021
IEEE Transactions on Cybernetics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Yazidi, A., +, TCYB Dec. 2021 5706-5716 Image annotation Error-Tolerant Deep Learning for Remote Sensing Image Scene Classifica-tion. ...
., +, TCYB Oct. 2021 4944-4958 Distributed algorithms A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch With Region Partitioning. ...
doi:10.1109/tcyb.2021.3139447
fatcat:myjx3olwvfcfpgnwvbuujwzyoi
Fusion Simulation Project Workshop Report
2008
Journal of fusion energy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The importance of building on healthy base programs in OFES and OASCR is recognized, as well as the requirement to coordinate with the ITER organization and the U.S. ...
The report of that panel [Journal of Fusion Energy 20, 135 (2001)] recommended the prompt initiation of a Fusion Simulation Project. ...
A number of advanced capabilities depend on streaming techniques for remote and distributed data access, processing and rendering. ...
doi:10.1007/s10894-008-9151-4
fatcat:mgibgmcdand75ptldzeeekwdwm
D6.4: Report on approaches to Petascaling
2009
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Furthermore each application has been ported and optimized to several different architectures to get a better understanding of the suitability of the applications on different architectures and vice versa ...
This deliverable reports on approaches to petascaling and evaluates promising petascaling techniques and optimizations. ...
The code authors try to keep a uniform format throughout the application. Generally useful comments are found in most parts of the code, but mostly in German. ...
doi:10.5281/zenodo.6546112
fatcat:rsmdzoeqbbbdzoe2zkx3czi2ry
Certifying Unstability of Switched Systems Using Sum of Squares Programming
2020
SIAM Journal of Control and Optimization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Tensor CP decomposition with structured factor matrices IEEE J. Sel. Top. ...
Specifically, we focus on the interpretation of the timescales involved in such a process. ...
The tool should take into account all the aspects related to optimization processes, such as the problem decomposition and the choice of a suitable optimization algorithm. ...
doi:10.1137/18m1173460
fatcat:ytlzbwk7vbampbuyo6snenz33m
International hearing protector standardization
2002
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A computational model has been developed based on a time accurate numerical simulation of the full Navier-Stokes equations on parallel computers. ...
In recent years, the benefits of fusing the outputs of multiple D/C algorithms ͑Algorithm Fusion͒ have been studied. ...
In one step forward, the remote control of all the functionalities was considered feasible. ...
doi:10.1121/1.4779221
fatcat:gxv33fedmrhxlf35odaqh3jybm
Quantification of environmental and economic impacts for main categories of building labeling schemes
2014
Energy and Buildings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
FaculTy oF civil enGineerinG chair oF heaTinG and venTilaTion chair of heating and ventilation mainly focuses on the research in hvac systems, indoor climate of the buildings, energy efficient and sustainable ...
Brain research Group The research activity is continuously aimed to development of algorithms for detection of characteristic changes in the brain electroencephalographyc (eeG) signal related to the mental ...
disorders and the effect of external physical stressor. ...
doi:10.1016/j.enbuild.2013.11.048
fatcat:ckgxbn7mtrh47gf4xsdaaio5jm
Machine learning, phase stability, and disorder with the Automatic Flow Framework for Materials Discovery
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Traditional materials discovery approaches - relying primarily on laborious experiments - have controlled the pace of technology. ...
Machine learning algorithms are employed for property prediction, descriptor development, design rule discovery, and the identification of candidate functional materials. ...
SEM images demonstrate the decomposition of Mn 2 PtCo into Mn-Co and Mn-Pt phases (see Figure 4.30). ...
arXiv:1811.08464v1
fatcat:kaxykm2hgzb5dlbhqonarctbv4
Analysis of Dynamic Social and Technological Networks (Dagstuhl Seminar 11452) Coding Theory (Dagstuhl Seminar 11461)
2011
Science and Engineering of Cyber-Physical Systems
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We recently proposed a formulation for the Requirements Problem of SAS (revisiting foundational work by Zave et. al., TOSEM'97, and a more recent one by Jureta et al., RE'08), as a dynamic problem (Qureshi ...
This motivates our interest in M@RT, and especially in continuous re-appraisal of requirements at run-time, which calls for effective and light-way methods for model representation and reasoning at run-time ...
Supervised Link Prediction Using Multiple Sources
Computing with fixed (low) rank matrices: a geometric approach
Optimization-based algorithms for the decomposition of a tensor in rank-(Lt,Lt,1) terms ...
fatcat:bwnjnbq2bjbolk52twaysozyxu
« Previous
Showing results 1 — 15 out of 27 results