Noise subspace projection approaches to determination of intrinsic dimensionality of hyperspectral imagery

Mapping Intimacies ◽

10.1117/12.373271 ◽

1999 ◽

Author(s):

Chein-I Chang ◽

Qian Du

Keyword(s):

Hyperspectral Imagery ◽

Subspace Projection ◽

Noise Subspace ◽

Intrinsic Dimensionality

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Orthogonal subspace projection approach to finding signal sources in hyperspectral imagery

10.1117/12.852757 ◽

2010 ◽

Author(s):

Xiaoli Jiao ◽

Chein-I Chang ◽

Yingzi Du

Keyword(s):

Hyperspectral Imagery ◽

Subspace Projection ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection ◽

Projection Approach ◽

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Estimation of the Intrinsic Dimensionality in Hyperspectral Imagery via the Hubness Phenomenon

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-53547-0_34 ◽

2017 ◽

pp. 357-366

Author(s):

Rob Heylen ◽

Mario Parente ◽

Paul Scheunders

Keyword(s):

Hyperspectral Imagery ◽

Intrinsic Dimensionality

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An Interference Suppression Method for Multistatic Radar Based on Noise Subspace Projection

IEEE Sensors Journal ◽

10.1109/jsen.2020.2984389 ◽

2020 ◽

Vol 20 (15) ◽

pp. 8797-8805

Author(s):

Hengli Yu ◽

Nan Liu ◽

Linrang Zhang ◽

Qiang Li ◽

Juan Zhang ◽

...

Keyword(s):

Interference Suppression ◽

Subspace Projection ◽

Noise Subspace ◽

Suppression Method ◽

Multistatic Radar

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Maximum orthogonal subspace projection approach to estimating the number of spectral signal sources in hyperspectral imagery

10.1117/12.861620 ◽

2010 ◽

Author(s):

Wei Xiong ◽

Ching Tsorng Tsai ◽

Ching Wen Yang ◽

Chein-I Chang

Keyword(s):

Hyperspectral Imagery ◽

Subspace Projection ◽

Spectral Signal ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection ◽

Projection Approach ◽

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Determination of Alterasion Zones Using Hyperspectral Imagery Based on Spectral Unmixing

10.3390/ecrs-2-05147 ◽

2018 ◽

Author(s):

Seyd Teymoor Seydi ◽

Mohammad Reza Yousefi

Keyword(s):

Hyperspectral Imagery ◽

Spectral Unmixing

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Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery

Advances in Pattern Recognition - Computer Vision Beyond the Visible Spectrum ◽

10.1007/1-84628-065-6_4 ◽

2005 ◽

pp. 115-140 ◽

Author(s):

Heesung Kwon ◽

Sandor Z. Der ◽

Nasser M. Nasrabadi

Keyword(s):

Feature Extraction ◽

Hyperspectral Imagery ◽

Subspace Projection ◽

Target Classification ◽

Adaptive Feature Extraction

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Target detection in hyperspectral imagery using noise adjusted principal component analysis and orthogonal subspace projection

10.1117/12.684103 ◽

2006 ◽

Author(s):

A. Chowdhury ◽

M. S. Alam

Keyword(s):

Principal Component Analysis ◽

Target Detection ◽

Hyperspectral Imagery ◽

Principal Component ◽

Component Analysis ◽

Subspace Projection ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection

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Progressive band processing of orthogonal subspace projection in hyperspectral imagery

10.1117/12.2179667 ◽

2015 ◽

Author(s):

Hsiao-Chi Li ◽

Yao Li ◽

Cheng Gao ◽

Meiping Song ◽

Chein-I Chang

Keyword(s):

Hyperspectral Imagery ◽

Subspace Projection ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection

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Maximum Orthogonal Subspace Projection Approach to Estimating the Number of Spectral Signal Sources in Hyperspectral Imagery

IEEE Journal of Selected Topics in Signal Processing ◽

10.1109/jstsp.2011.2134068 ◽

2011 ◽

Vol 5 (3) ◽

pp. 504-520 ◽

Author(s):

Chein-I Chang ◽

Wei Xiong ◽

Hsian-Min Chen ◽

Jyh-Wen Chai

Keyword(s):

Hyperspectral Imagery ◽

Subspace Projection ◽

Spectral Signal ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection ◽

Projection Approach ◽

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Hyperspectral Imagery Denoising Based on Oblique Subspace Projection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2329322 ◽

2014 ◽

Vol 7 (6) ◽

pp. 2468-2480 ◽

Author(s):

Qian Wang ◽

Lifu Zhang ◽

Qingxi Tong ◽

Feizhou Zhang

Keyword(s):

Hyperspectral Imagery ◽

Subspace Projection

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