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Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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10.1109/igarss.2017.8126918
◽
2017
◽
Author(s):
Zhao Chen
◽
Bin Yang
◽
Bin Wang
◽
Guohua Liu
◽
Wei Xia
Keyword(s):
Change Detection
◽
Hyperspectral Imagery
◽
Matrix Decomposition
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
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Cited By
References
Low-rank matrix decomposition with a spectral-spatial regularization for change detection in hyperspectral imagery
2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP)
◽
10.1109/rsip.2017.7958816
◽
2017
◽
Author(s):
Zhao Chen
◽
Muhammad Sohail
◽
Bin Wang
Keyword(s):
Change Detection
◽
Hyperspectral Imagery
◽
Matrix Decomposition
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix
◽
Spatial Regularization
Download Full-text
SAR image change detection based on low rank matrix decomposition
2012 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss.2012.6352692
◽
2012
◽
Cited By ~ 2
Author(s):
Xiangrong Zhang
◽
Yaoguo Zheng
◽
Jie Feng
◽
Shuiping Gou
Keyword(s):
Change Detection
◽
Matrix Decomposition
◽
Low Rank
◽
Sar Image
◽
Rank Matrix
◽
Image Change Detection
◽
Low Rank Matrix
Download Full-text
Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery
IEEE Transactions on Geoscience and Remote Sensing
◽
10.1109/tgrs.2019.2897635
◽
2019
◽
Vol 57
(8)
◽
pp. 5239-5251
◽
Cited By ~ 13
Author(s):
Ahmad W. Bitar
◽
Loong-Fah Cheong
◽
Jean-Philippe Ovarlez
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
◽
Matrix Decomposition
◽
Low Rank
◽
Automatic Target Detection
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
Unsupervised change detection of satellite images using low rank matrix completion
Optics Letters
◽
10.1364/ol.38.005146
◽
2013
◽
Vol 38
(23)
◽
pp. 5146
◽
Cited By ~ 2
Author(s):
Shibo Gao
◽
Yongmei Cheng
◽
Yongqiang Zhao
Keyword(s):
Change Detection
◽
Satellite Images
◽
Matrix Completion
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix Completion
◽
Low Rank Matrix
Download Full-text
Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint
Computer Vision - ACCV 2012 Workshops - Lecture Notes in Computer Science
◽
10.1007/978-3-642-37410-4_28
◽
2013
◽
pp. 315-320
◽
Cited By ~ 15
Author(s):
Charles Guyon
◽
Thierry Bouwmans
◽
El-Hadi Zahzah
Keyword(s):
Matrix Decomposition
◽
Low Rank
◽
Foreground Detection
◽
Temporal Constraint
◽
Rank Matrix
◽
Spatio Temporal
◽
Low Rank Matrix
Download Full-text
Hyperspectral Anomaly Detection via $S_{1/2}$ and Total Variation Low Rank Matrix Decomposition
IEEE Geoscience and Remote Sensing Letters
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10.1109/lgrs.2021.3096720
◽
2021
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pp. 1-5
Author(s):
Jingyu Wang
◽
Pengfei Huang
◽
Ke Zhang
◽
Qi Wang
Keyword(s):
Anomaly Detection
◽
Total Variation
◽
Matrix Decomposition
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
Single-Channel Speech Enhancement Based on Adaptive Low-Rank Matrix Decomposition
IEEE Access
◽
10.1109/access.2020.2975069
◽
2020
◽
Vol 8
◽
pp. 37066-37076
Author(s):
Chao Li
◽
Ting Jiang
◽
Sheng Wu
◽
Jianxiao Xie
Keyword(s):
Speech Enhancement
◽
Single Channel
◽
Matrix Decomposition
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
A Novel Approach to Underwater De-Scattering Based on Sparse and Low-Rank Matrix Decomposition
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)
◽
10.1109/oceanskobe.2018.8559133
◽
2018
◽
Author(s):
Qin Jiang
◽
Guoyu Wang
◽
Benxing Gong
◽
Yibo Tan
Keyword(s):
Matrix Decomposition
◽
Low Rank
◽
Novel Approach
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
Speech enhancement via low-rank matrix decomposition and image based masking
The 9th International Symposium on Chinese Spoken Language Processing
◽
10.1109/iscslp.2014.6936687
◽
2014
◽
Cited By ~ 1
Author(s):
Liyang Liu
◽
Zhaogui Ding
◽
Weifeng Li
◽
Longbiao Wang
◽
Qingmin Liao
Keyword(s):
Speech Enhancement
◽
Matrix Decomposition
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
Prior image constrained low-rank matrix decomposition method in limited-angle reverse helical cone-beam CT
Journal of X-Ray Science and Technology
◽
10.3233/xst-150526
◽
2015
◽
Vol 23
(6)
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pp. 759-772
Author(s):
Wu Dong
◽
Zeng Li
◽
Deng Xiang
Keyword(s):
Decomposition Method
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Cone Beam Ct
◽
Matrix Decomposition
◽
Low Rank
◽
Cone Beam
◽
Rank Matrix
◽
Low Rank Matrix
◽
Limited Angle
Download Full-text
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