An Efficient Method of Hyperspectral Image Dimension Reduction Based on Low Rank Representation and Locally Linear Embedding

Integrated Ferroelectrics ◽

10.1080/10584587.2020.1728626 ◽

2020 ◽

Vol 208 (1) ◽

pp. 206-214

Author(s):

Jiqiang Luo ◽

Tingfa Xu ◽

Teng Pan ◽

Weidong Sun

Keyword(s):

Dimension Reduction ◽

Efficient Method ◽

Hyperspectral Image ◽

Low Rank ◽

Locally Linear Embedding ◽

Image Dimension ◽

Low Rank Representation ◽

Linear Embedding ◽

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Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6723603 ◽

2013 ◽

Author(s):

Yushi Chen ◽

Changbo Qu ◽

Zhouhan Lin

Keyword(s):

Dimension Reduction ◽

Image Classification ◽

Hyperspectral Image ◽

Locally Linear Embedding ◽

Hyperspectral Image Classification ◽

Linear Embedding ◽

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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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Hyperspectral Image Classification with Locally Linear Embedding, 2D Spatial Filtering, and SVM

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

10.1007/978-3-030-84522-3_12 ◽

2021 ◽

pp. 151-159

Author(s):

Guang Yi Chen ◽

Wen Fang Xie ◽

Shen-En Qian

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Spatial Filtering ◽

Locally Linear Embedding ◽

Hyperspectral Image Classification ◽

Linear Embedding ◽

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Weighted locally linear embedding for dimension reduction

Pattern Recognition ◽

10.1016/j.patcog.2008.08.024 ◽

2009 ◽

Vol 42 (5) ◽

pp. 798-811 ◽

Author(s):

Yaozhang Pan ◽

Shuzhi Sam Ge ◽

Abdullah Al Mamun

Keyword(s):

Dimension Reduction ◽

Locally Linear Embedding ◽

Linear Embedding ◽

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Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification

Emerging Intelligent Computing Technology and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04070-2_100 ◽

2009 ◽

pp. 948-955 ◽

Author(s):

Shanwen Zhang ◽

Kwok-Wing Chau

Keyword(s):

Dimension Reduction ◽

Locally Linear Embedding ◽

Linear Embedding ◽

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Low-Rank and Locally Linear Embedding Approach to Image Inpainting

2018 IEEE Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip.2018.8698655 ◽

2018 ◽

Author(s):

Ryohei Sasaki ◽

Katsumi Konishi ◽

Tomohiro Takahashi ◽

Toshihiro Furukawa

Keyword(s):

Image Inpainting ◽

Low Rank ◽

Locally Linear Embedding ◽

Linear Embedding ◽

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Locally linear embedding: dimension reduction of massive protostellar spectra

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stw1510 ◽

2016 ◽

Vol 461 (2) ◽

pp. 2250-2256 ◽

Author(s):

J. L. Ward ◽

S. L. Lumsden

Keyword(s):

Dimension Reduction ◽

Locally Linear Embedding ◽

Embedding Dimension ◽

Linear Embedding ◽

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Weighted Low-Rank Representation-Based Dimension Reduction for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2017.2743018 ◽

2017 ◽

Vol 14 (11) ◽

pp. 1938-1942 ◽

Author(s):

Xiaotao Wang ◽

Fang Liu

Keyword(s):

Dimension Reduction ◽

Image Classification ◽

Hyperspectral Image ◽

Low Rank ◽

Hyperspectral Image Classification ◽

Low Rank Representation

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LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding

2015 23nd Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2015.7129954 ◽

2015 ◽

Author(s):

Ayse Siddika Aydogdu ◽

Poyraz Umut Hatipoglu ◽

Levent Ozparlak ◽

Seniha Esen Yuksel

Keyword(s):

Anomaly Detection ◽

Dimension Reduction ◽

Locally Linear Embedding ◽

Linear Embedding ◽

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FEATURE DIMENSION REDUCTION FOR MICROARRAY DATA ANALYSIS USING LOCALLY LINEAR EMBEDDING

Proceedings of the 3rd Asia-Pacific Bioinformatics Conference ◽

10.1142/9781860947322_0021 ◽

2005 ◽

Author(s):

SHI CHAO ◽

CHEN LIHUI

Keyword(s):

Data Analysis ◽

Dimension Reduction ◽

Microarray Data ◽

Microarray Data Analysis ◽

Locally Linear Embedding ◽

Linear Embedding ◽

Feature Dimension ◽

Feature Dimension Reduction ◽

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