14.2.7.1 Mixed Pixels, Unmixing

Nielsen, A.A.[Allan Aasbjerg],
Spectral Mixture Analysis: Linear and Semi-parametric Full and Iterated Partial Unmixing in Multi- and Hyperspectral Image Data,
IJCV(42), No. 1-2, April-May 2001, pp. 17-37.
WWW Version. 0106
BibRef
And: JMIV(15), No. 1/2, July 2001, pp. 17-37.
WWW Version. 0106
BibRef

Nielsen, A.A.,
Linear Mixture Models, Full and Partial Unmixing in Multi- and Hyperspectral Image Data,
SCIA99(Remote Sensing). BibRef 9900

Asner, G.P., Heidebrecht, K.B.,
Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations,
JRS(23), No. 19, October 2002, pp. 3939-3958.
WWW Version. 0211
BibRef

Nascimento, J.M.P., Bioucas-Dias, J.M.,
Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?,
GeoRS(43), No. 1, January 2005, pp. 175-187.
IEEE Abstract. 0501
BibRef

Nascimento, J.M.P., Bioucas-Dias, J.M.,
Hyperspectral Unmixing Based on Mixtures of Dirichlet Components,
GeoRS(50), No. 3, March 2012, pp. 863-878.
IEEE DOI Link 1203
BibRef

Nascimento, J.M.P.[José M. P.], Bioucas-Dias, J.M.B.[José M.B.],
Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data,
GeoRS(43), No. 4, April 2005, pp. 898-910.
IEEE Abstract. 0501
BibRef
And:
Dependent Component Analysis: A Hyperspectral Unmixing Algorithm,
IbPRIA07(II: 612-619).
Springer DOI Link 0706
BibRef

Kwan, C., Ayhan, B., Chen, G., Wang, J., Ji, B., Chang, C.I.,
A Novel Approach for Spectral Unmixing, Classification, and Concentration Estimation of Chemical and Biological Agents,
GeoRS(44), No. 2, February 2006, pp. 409-419.
IEEE DOI Link 0602
BibRef

Rogge, D.M., Rivard, B., Zhang, J., Feng, J.,
Iterative Spectral Unmixing for Optimizing Per-Pixel Endmember Sets,
GeoRS(44), No. 12, December 2006, pp. 3725-3736.
IEEE DOI Link 0701
BibRef

Foody, G.M.[Giles M.], Doan, H.T.X.,
Variability in Soft Classification Prediction and Its Implications for Sub-pixel Scale Change Detection and Super Resolution Mapping,
PhEngRS(73), No. 8, August 2007, pp. 923-934.
WWW Version. 0709
The impacts of class spectral variability on unmixing the the implications for analyses based on soft classification outputs. BibRef

Jia, S.[Sen], Qian, Y.T.[Yun-Tao],
Spectral and Spatial Complexity-Based Hyperspectral Unmixing,
GeoRS(45), No. 12, December 2007, pp. 3867-3879.
IEEE DOI Link 0711
BibRef
Earlier:
Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing,
ICPR06(IV: 817-820).
IEEE DOI Link 0609
BibRef
And:
MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing,
SSPR06(531-540).
Springer DOI Link 0608
BibRef

Jia, S.[Sen], Qian, Y.T.[Yun-Tao], Ji, Z.[Zhen],
Band Selection for Hyperspectral Imagery Using Affinity Propagation,
DICTA08(137-141).
IEEE DOI Link 0812
BibRef

Plaza, J.[Javier], Plaza, A.[Antonio], Perez, R.[Rosa], Martinez, P.[Pablo],
On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images,
PR(42), No. 11, November 2009, pp. 3032-3045.
Elsevier DOI Link
WWW Version. 0907
Hyperspectral; Image processing; Mixed pixels; Spectral mixture analysis; Multi-layer perceptron; Automatic training sample generation algorithms; Mixed training samples; Nonlinear spectral unmixing BibRef

Plaza, A.[Antonio], Plaza, J.[Javier],
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images,
ICPR10(4412-4415).
IEEE DOI Link 1008
BibRef

Huck, A., Guillaume, M., Blanc-Talon, J.,
Minimum Dispersion Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data,
GeoRS(48), No. 6, June 2010, pp. 2590-2602.
IEEE DOI Link 1006
BibRef

Liu, L.[Lifan], Wang, B.[Bin], Zhang, L.M.[Li-Ming],
An approach based on self-organizing map and fuzzy membership for decomposition of mixed pixels in hyperspectral imagery,
PRL(31), No. 11, 1 August 2010, pp. 1388-1395.
Elsevier DOI Link
WWW Version. 1008
Mixed pixel; Spectral unmixing; Endmember; Abundance; Self-organizing map neural network; Fuzzy membership BibRef

Silvan-Cardenas, J.L., Wang, L.,
Fully Constrained Linear Spectral Unmixing: Analytic Solution Using Fuzzy Sets,
GeoRS(48), No. 11, November 2010, pp. 3992-4002.
IEEE DOI Link 1011
BibRef

Schmidt, F., Schmidt, A., Treguier, E., Guiheneuf, M., Moussaoui, S., Dobigeon, N.,
Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation,
GeoRS(48), No. 11, November 2010, pp. 4003-4013.
IEEE DOI Link 1011
BibRef

Liu, X., Xia, W., Wang, B., Zhang, L.,
An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data,
GeoRS(49), No. 2, February 2011, pp. 757-772.
IEEE DOI Link 1102
BibRef

Omachi, M.[Masako], Omachi, S.[Shinichiro],
Pattern Recognition with Gaussian Mixture Models of Marginal Distributions,
IEICE(E94-D), No. 2, February 2011, pp. 317-324.
WWW Version. 1102
BibRef

Yang, Z., Zhou, G., Xie, S., Ding, S., Yang, J.M., Zhang, J.,
Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization,
IP(20), No. 4, April 2011, pp. 1112-1125.
IEEE DOI Link 1103
BibRef

Xia, W., Liu, X., Wang, B., Zhang, L.,
Independent Component Analysis for Blind Unmixing of Hyperspectral Imagery With Additional Constraints,
GeoRS(49), No. 6, June 2011, pp. 2165-2179.
IEEE DOI Link 1106
BibRef

Iordache, M.D., Bioucas-Dias, J.M., Plaza, A.,
Sparse Unmixing of Hyperspectral Data,
GeoRS(49), No. 6, June 2011, pp. 2014-2039.
IEEE DOI Link 1106
BibRef

Murakami, Y.[Yuri], Yamaguchi, M.[Masahiro], Ohyama, N.[Nagaaki],
Class-based spectral reconstruction based on unmixing of low-resolution spectral information,
JOSA-A(28), No. 7, July 2011, pp. 1470-1481.
WWW Version. 1107
BibRef

Chen, X.H.[Xue-Hong], Chen, J.[Jin], Jia, X.P.[Xiu-Ping], Somers, B., Wu, J.[Jin], Coppin, P.,
A Quantitative Analysis of Virtual Endmembers' Increased Impact on the Collinearity Effect in Spectral Unmixing,
GeoRS(49), No. 8, August 2011, pp. 2945-2956.
IEEE DOI Link 1108
BibRef

Qian, Y.T.[Yun-Tao], Jia, S.[Sen], Zhou, J.[Jun], Robles-Kelly, A.[Antonio],
Hyperspectral Unmixing via L_1/2 Sparsity-Constrained Nonnegative Matrix Factorization,
GeoRS(49), No. 11, November 2011, pp. 4282-4297.
IEEE DOI Link 1112
BibRef
Earlier:
L_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing,
DICTA10(447-453).
IEEE DOI Link 1012
BibRef

Ceamanos, X., Doute, S., Luo, B.[Bin], Schmidt, F., Jouannic, G., Chanussot, J.,
Intercomparison and Validation of Techniques for Spectral Unmixing of Hyperspectral Images: A Planetary Case Study,
GeoRS(49), No. 11, November 2011, pp. 4341-4358.
IEEE DOI Link 1112
BibRef

Mianji, F.A., Zhang, Y.[Ye],
SVM-Based Unmixing-to-Classification Conversion for Hyperspectral Abundance Quantification,
GeoRS(49), No. 11, November 2011, pp. 4318-4327.
IEEE DOI Link 1112
BibRef

Li, H.[Hui], Wang, Y.P.[Yun-Peng], Li, Y.[Yan], Wang, X.F.[Xing-Fang],
Pixel-Unmixing Moderate-Resolution Remote Sensing Imagery Using Pairwise Coupling Support Vector Machines: A Case Study,
GeoRS(49), No. 11, November 2011, pp. 4298-4307.
IEEE DOI Link 1112
BibRef

Canham, K., Schlamm, A., Ziemann, A., Basener, B., Messinger, D.,
Spatially Adaptive Hyperspectral Unmixing,
GeoRS(49), No. 11, November 2011, pp. 4248-4262.
IEEE DOI Link 1112
BibRef

Ambikapathi, A., Chan, T., Ma, W.K.[Wing-Kin], Chi, C.Y.[Chong-Yung],
Chance-Constrained Robust Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing,
GeoRS(49), No. 11, November 2011, pp. 4194-4209.
IEEE DOI Link 1112
BibRef

Licciardi, G.A., Del Frate, F.,
Pixel Unmixing in Hyperspectral Data by Means of Neural Networks,
GeoRS(49), No. 11, November 2011, pp. 4163-4172.
IEEE DOI Link 1112
BibRef

Halimi, A., Altmann, Y., Dobigeon, N., Tourneret, J.Y.,
Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model,
GeoRS(49), No. 11, November 2011, pp. 4153-4162.
IEEE DOI Link 1112
BibRef

Altmann, Y., Halimi, A., Dobigeon, N., Tourneret, J.Y.,
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery,
IP(21), No. 6, June 2012, pp. 3017-3025.
IEEE DOI Link 1202
BibRef

Heylen, R., Burazerovic, D., Scheunders, P.,
Fully Constrained Least Squares Spectral Unmixing by Simplex Projection,
GeoRS(49), No. 11, November 2011, pp. 4112-4122.
IEEE DOI Link 1112
BibRef

Boardman, J.W., Kruse, F.A.,
Analysis of Imaging Spectrometer Data Using N-Dimensional Geometry and a Mixture-Tuned Matched Filtering Approach,
GeoRS(49), No. 11, November 2011, pp. 4138-4152.
IEEE DOI Link 1112
partial linear unmixing. BibRef

Li, C., Sun, T., Kelly, K.F., Zhang, Y.,
A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing,
IP(21), No. 3, March 2012, pp. 1200-1210.
IEEE DOI Link 1203
BibRef

Karathanassi, V., Sykas, D., Topouzelis, K.N.,
Development of a Network-Based Method for Unmixing of Hyperspectral Data,
GeoRS(50), No. 3, March 2012, pp. 839-849.
IEEE DOI Link 1203
BibRef

Lindblad, J.[Joakim], Sladoje, N.[Nataša],
Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness,
PRL(33), No. 6, 15 April 2012, pp. 728-738.
Elsevier DOI Link
WWW Version. 1203
Linear unmixing; Soft classification; Fuzzy segmentation; Pixel coverage model; Energy minimization; Spatial constraints BibRef

Averbuch, A., Zheludev, M.,
Two Linear Unmixing Algorithms to Recognize Targets Using Supervised Classification and Orthogonal Rotation in Airborne Hyperspectral Images,
RS(4), No. 2, February 2012, pp. 532-560.
WWW Version.
WWW Version. 1203
BibRef

Mittelman, R.[Roni], Hero, A.O.[Alfred O.],
Hyperspectral image segmentation and unmixing using hidden Markov trees,
ICIP10(1373-1376).
IEEE DOI Link 1009
BibRef

Jia, S.[Sen], Qian, Y.T.[Yun-Tao], Li, J.M.[Ji-Ming], Li, Y.[Yan], Ming, Z.[Zhong],
Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing,
ICIP10(2305-2308).
IEEE DOI Link 1009
BibRef

Luo, B.[Bin], Chanussot, J.[Jocelyn],
Unsupervised classification of hyperspectral images by using linear unmixing algorithm,
ICIP09(2877-2880).
IEEE DOI Link 0911
BibRef

Miao, L.[Lidan], Qi, H.R.[Hai-Rong],
A Constrained Non-Negative Matrix Factorization Approach to Unmix Highly Mixed Hyperspectral Data,
ICIP07(II: 185-188).
IEEE DOI Link 0709
BibRef

Berman, M.,
Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging,
AIPR06(15-15).
IEEE DOI Link 0610
BibRef

Gu, Y.F.[Yan-Feng], Zhang, Y.[Ye], Liu, Y.[Ying],
Unmixing Component Analysis for Anomaly Detection in Hyperspectral Imagery,
ICIP06(965-968). 0610

IEEE DOI Link BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Mixed Pixels, Subpixel Classification .