Least squares subspace projection approach to mixed pixel classification for hyperspectral images

Cheng-I Chang;  Xiao-Li Zhao; M.L.G. Althouse;  Jeng Jong Pan

doi:10.1109/36.673681

Least squares subspace projection approach to mixed pixel classification for hyperspectral images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.673681 ◽

1998 ◽

Vol 36 (3) ◽

pp. 898-912 ◽

Cited By ~ 137

Author(s):

Cheng-I Chang ◽

Xiao-Li Zhao ◽

M.L.G. Althouse ◽

Jeng Jong Pan

Keyword(s):

Least Squares ◽

Hyperspectral Images ◽

Subspace Projection ◽

Pixel Classification ◽

Mixed Pixel ◽

Projection Approach

Download Full-text

An oblique subspace projection approach for mixed pixel classification in hyperspectral images

Pattern Recognition ◽

10.1016/s0031-3203(98)00165-4 ◽

1999 ◽

Vol 32 (8) ◽

pp. 1399-1408 ◽

Cited By ~ 12

Author(s):

Te-Ming Tu ◽

Hsuen-Chyun Shyu ◽

Ching-Hai Lee ◽

Chein-I Chang

Keyword(s):

Hyperspectral Images ◽

Subspace Projection ◽

Pixel Classification ◽

Mixed Pixel ◽

Projection Approach

Download Full-text

Unconstrained Mixed Pixel Classification: Least-Squares Subspace Projection

Hyperspectral Imaging ◽

10.1007/978-1-4419-9170-6_8 ◽

2003 ◽

pp. 141-159

Author(s):

Chein-I Chang

Keyword(s):

Least Squares ◽

Subspace Projection ◽

Pixel Classification ◽

Mixed Pixel

Download Full-text

Mixed-pixel classification for hyperspectral images based on multichannel singular spectrum analysis

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.978005 ◽

2002 ◽

Author(s):

Cheng-Tan Tung ◽

Din-Chang Tseng ◽

Yeou-Long Tsai

Keyword(s):

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Hyperspectral Images ◽

Pixel Classification ◽

Mixed Pixel ◽

Singular Spectrum

Download Full-text

An unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery

Pattern Recognition ◽

10.1016/s0031-3203(98)00150-2 ◽

1999 ◽

Vol 32 (7) ◽

pp. 1161-1174 ◽

Cited By ~ 16

Author(s):

Clark Brumbley ◽

Chein-I Chang

Keyword(s):

Vector Quantization ◽

Remotely Sensed ◽

Subspace Projection ◽

Mixed Pixel ◽

Remotely Sensed Imagery ◽

Projection Approach

Download Full-text

A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.551941 ◽

1997 ◽

Vol 35 (1) ◽

pp. 127-139 ◽

Cited By ~ 64

Author(s):

Te-Ming Tu ◽

Chin-Hsing Chen ◽

Chein-I Chang

Keyword(s):

Least Squares ◽

A Posteriori ◽

Subspace Projection ◽

Signature Extraction ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection ◽

Projection Approach

Download Full-text

A noise subspace projection approach to target signature detection and extraction in an unknown background for hyperspectral images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.655327 ◽

1998 ◽

Vol 36 (1) ◽

pp. 171-181 ◽

Cited By ~ 25

Author(s):

Te-Ming Tu ◽

Chin-Hsing Chen ◽

Chein-I Chang

Keyword(s):

Hyperspectral Images ◽

Subspace Projection ◽

Noise Subspace ◽

Signature Detection ◽

Projection Approach

Download Full-text

A New Least Squares Subspace Projection Approach to Unmix Hyperspectral Data

2009 WRI Global Congress on Intelligent Systems ◽

10.1109/gcis.2009.228 ◽

2009 ◽

Author(s):

Liaoying Zhao ◽

Kai Zhang

Keyword(s):

Least Squares ◽

Hyperspectral Data ◽

Subspace Projection ◽

Projection Approach

Download Full-text

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 ◽

Signal Sources

Download Full-text

A gradient based method for fully constrained least-squares unmixing of hyperspectral images

2011 IEEE Statistical Signal Processing Workshop (SSP) ◽

10.1109/ssp.2011.5967687 ◽

2011 ◽

Cited By ~ 3

Author(s):

Jie Chen ◽

Cedric Richard ◽

Henri Lanteri ◽

Celine Theys ◽

Paul Honeine

Keyword(s):

Least Squares ◽

Hyperspectral Images ◽

Constrained Least Squares ◽

Gradient Based ◽

Fully Constrained Least Squares

Download Full-text

An efficient classification by signal subspace projection and partial filtering for hyperspectral images

10.1117/12.2023808 ◽

2013 ◽

Author(s):

Lena Chang ◽

Zay-Shing Tang ◽

Hsien-Sen Hung ◽

Yang-Lang Chang

Keyword(s):

Hyperspectral Images ◽

Signal Subspace ◽

Subspace Projection

Download Full-text