Feature Extraction for Hyperspectral Images Using Low-Rank Representation With Neighborhood Preserving Regularization

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2017.2682849 ◽

2017 ◽

Vol 14 (6) ◽

pp. 836-840 ◽

Author(s):

Mengdi Wang ◽

Jing Yu ◽

Lijuan Niu ◽

Weidong Sun

Keyword(s):

Feature Extraction ◽

Hyperspectral Images ◽

Low Rank ◽

Low Rank Representation

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Noise reduction and feature extraction based on low-rank representation and pairwise constraint preserving for hyperspectral images

International Journal of Remote Sensing ◽

10.1080/01431161.2019.1607980 ◽

2019 ◽

Vol 40 (22) ◽

pp. 8236-8269 ◽

Author(s):

Seyyed Ali Ahmadi ◽

Nasser Mehrshad ◽

Seyyed Mohammad Razavi

Keyword(s):

Feature Extraction ◽

Noise Reduction ◽

Hyperspectral Images ◽

Low Rank ◽

Pairwise Constraint ◽

Low Rank Representation

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Supervised feature extraction method based on low-rank representation with preserving local pairwise constraints for hyperspectral images

Signal Image and Video Processing ◽

10.1007/s11760-018-1385-7 ◽

2018 ◽

Vol 13 (3) ◽

pp. 583-590 ◽

Author(s):

Seyyed Ali Ahmadi ◽

Nasser Mehrshad ◽

Seyyed Mohammad Razavi

Keyword(s):

Feature Extraction ◽

Extraction Method ◽

Hyperspectral Images ◽

Low Rank ◽

Pairwise Constraints ◽

Feature Extraction Method ◽

Low Rank Representation ◽

Supervised Feature Extraction

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Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7952392 ◽

2017 ◽

Author(s):

Mengdi Wang ◽

Jing Yu ◽

Lijuan Niu ◽

Weidong Sun

Keyword(s):

Feature Extraction ◽

Hyperspectral Images ◽

Low Rank ◽

Locally Linear Embedding ◽

Low Rank Representation ◽

Linear Embedding ◽

Unsupervised Feature Extraction ◽

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Latent Low-Rank Representation for subspace segmentation and feature extraction

2011 International Conference on Computer Vision ◽

10.1109/iccv.2011.6126422 ◽

2011 ◽

Author(s):

Guangcan Liu ◽

Shuicheng Yan

Keyword(s):

Feature Extraction ◽

Low Rank ◽

Subspace Segmentation ◽

Low Rank Representation

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Local Hypergraph Laplacian Regularized Low-Rank Representation for Noise Reduction of Hyperspectral Images

Acta Optica Sinica ◽

10.3788/aos201737.0510001 ◽

2017 ◽

Vol 37 (5) ◽

pp. 0510001 ◽

Author(s):

薛志祥 Xue Zhixiang ◽

余旭初 Yu Xuchu ◽

谭熊 Tan Xiong ◽

付琼莹 Fu Qiongying

Keyword(s):

Noise Reduction ◽

Hyperspectral Images ◽

Low Rank ◽

Low Rank Representation ◽

Hypergraph Laplacian

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Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation for Hyperspectral Images

2018 IEEE International Conference on Real-time Computing and Robotics (RCAR) ◽

10.1109/rcar.2018.8621800 ◽

2018 ◽

Author(s):

Jipan Yang ◽

Dexiang Zhang ◽

Teng Li ◽

Yan Wang ◽

Qing Yan

Keyword(s):

Subspace Clustering ◽

Hyperspectral Images ◽

Low Rank ◽

Low Rank Representation

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Subspace Clustering and Feature Extraction Based on Latent Sparse Low-Rank Representation

2019 International Conference on Machine Learning and Cybernetics (ICMLC) ◽

10.1109/icmlc48188.2019.8949212 ◽

2019 ◽

Author(s):

Li-Na Zhao ◽

Fang Ma ◽

Hong-Wei Yang

Keyword(s):

Feature Extraction ◽

Subspace Clustering ◽

Low Rank ◽

Low Rank Representation

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Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2785359 ◽

2018 ◽

Vol 56 (5) ◽

pp. 2872-2886 ◽

Author(s):

Shaohui Mei ◽

Junhui Hou ◽

Jie Chen ◽

Lap-Pui Chau ◽

Qian Du

Keyword(s):

Hyperspectral Images ◽

Low Rank ◽

Low Rank Representation

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Semisupervised graph-based hyperspectral images classification using low-rank representation graph with considering the local structure of data

Journal of Electronic Imaging ◽

10.1117/1.jei.27.6.063002 ◽

2018 ◽

Vol 27 (06) ◽

pp. 1 ◽

Author(s):

Seyyed Ali Ahmadi

Keyword(s):

Local Structure ◽

Hyperspectral Images ◽

Low Rank ◽

Low Rank Representation

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Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2012.2226730 ◽

2013 ◽

Vol 51 (7) ◽

pp. 4009-4018 ◽

Author(s):

Xiaoqiang Lu ◽

Yulong Wang ◽

Yuan Yuan

Keyword(s):

Hyperspectral Images ◽

Low Rank ◽

Low Rank Representation

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