Results 11 to 20 of about 17,338 (113)
Application of Weighted Truncated p Norm in Motion Target Detection [PDF]
Jisuanji gongcheng, 2018 In the moving object detection methods base on low rank and sparse decomposition,the nuclear norm is not the best approximation of the rank function of the matrix,meanwhile,the spatial continuity of moving object is not to be considered.As a result,the ...
XUAN Xiao,YU Qin
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Robust Semisupervised Land-Use Classification Using Remote Sensing Data With Weak Labels
IEEE Access, 2022 This work develops robust semisupervised classifiers to tackle the three most challenging problems in land-use classification using remote sensing data, namely, information imbalance, label noise, and image uncertainty.
Rui Wang, Man-On Pun
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Brazil and the TPNW: Brazilian Interests and the Promotion of the Norm of Nuclear Prohibition [PDF]
Contexto InternacionalThe Treaty on the Prohibition of Nuclear Weapons (TPNW) formalises the norm of nuclear prohibition and is presented as a way to fill a gap regarding nuclear disarmament.
Luiza Elena Januário, Raquel Gontijo
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IEEE Access, 2020 Low-rank and sparse decomposition (LRSD) has attracted wide attention in video foreground-background separation and many other fields. However, the traditional LRSD methods have many tough problems, such as the problems of the low accuracy of the ...
Yongpeng Yang +3 more
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A Direct Coarray Interpolation Approach for Direction Finding
Sensors, 2017 Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse ...
Tao Chen, Muran Guo, Limin Guo
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NON-LINEAR MULTI-FRAME IMAGE DENOISING USING WEIGHTED NUCLEAR NORM MINIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 We address the problem of constructing single low noise image from a sequence of multiple noisy images. We use the approach based on finding and averaging similar blocks in the image and extend it to multiple images.
A. V. Nasonov +2 more
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Locality-Constrained Double Low-Rank Representation for Effective Face Hallucination
IEEE Access, 2016 Recently, position-patch-based face hallucination methods have received much attention, and obtained promising progresses due to their effectiveness and efficiency.
Guangwei Gao +5 more
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Low-Rank Tensor Completion by Sum of Tensor Nuclear Norm Minimization
IEEE Access, 2019 In this paper, we study the problem of low-rank tensor completion with the purpose of recovering a low-rank tensor from a tensor with partial observed items. To date, there are several different definitions of tensor ranks.
Yaru Su, Xiaohui Wu, Wenxi Liu
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral anomaly detection is an important technique in the field of remote sensing image processing. Over the last few years, low rank and sparse matrix decomposition (LRSMD) has played an increasingly significant role in hyperspectral anomaly ...
Xiaoyi Wang +4 more
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IEEE Access, 2018 Magnetic resonance spectroscopy (MRS) has many important applications in medical imaging, biology, and chemistry. The 1-D MRS is too crowded for complex samples to retrieve chemical or biological information.
Di Guo, Xiaobo Qu
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