14.2.8.1 Mixed Pixels, Unmixing

Chapter Contents (Back)
Mixed Pixels. 1102
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.
DOI Link 0106
BibRef
And: JMIV(15), No. 1/2, July 2001, pp. 17-37.
DOI Link 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 Link. 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 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 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 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 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 Link. 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 0711
BibRef
Earlier:
Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing,
ICPR06(IV: 817-820).
IEEE DOI 0609
BibRef
And:
MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing,
SSPR06(531-540).
Springer DOI 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 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 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 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 1006
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 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 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 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 Link. 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 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 1106
BibRef

Xia, W., Pu, H., Wang, B., Zhang, L.,
Triangular Factorization-Based Simplex Algorithms for Hyperspectral Unmixing,
GeoRS(50), No. 11, November 2012, pp. 4420-4440.
IEEE DOI 1210
BibRef

Pu, H.[Hanye], Chen, Z.[Zhao], Wang, B.[Bin], Xia, W.[Wei],
Constrained Least Squares Algorithms for Nonlinear Unmixing of Hyperspectral Imagery,
GeoRS(53), No. 3, March 2015, pp. 1287-1303.
IEEE DOI 1412
deconvolution See also Novel Spatial-Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery, A. BibRef

Pu, H.[Hanye], Xia, W.[Wei], Wang, B.[Bin], Jiang, G.M.[Geng-Ming],
A Fully Constrained Linear Spectral Unmixing Algorithm Based on Distance Geometry,
GeoRS(52), No. 2, February 2014, pp. 1157-1176.
IEEE DOI 1402
Monte Carlo methods 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 1106
BibRef

Iordache, M.D., Bioucas-Dias, J.M., Plaza, A.,
Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing,
GeoRS(50), No. 11, November 2012, pp. 4484-4502.
IEEE DOI 1210
See also Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields. BibRef

Iordache, M.D., Bioucas-Dias, J.M., Plaza, A.,
Collaborative Sparse Regression for Hyperspectral Unmixing,
GeoRS(52), No. 1, January 2014, pp. 341-354.
IEEE DOI 1402
geophysical image processing BibRef

Iordache, M.D., Bioucas-Dias, J.M., Plaza, A., Somers, B.,
MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression,
GeoRS(52), No. 7, July 2014, pp. 4364-4382.
IEEE DOI 1403
Correlation 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 Link. 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 1108
BibRef

Tong, L.[Lei], Zhou, J.[Jun], Qian, Y.T.[Yun-Tao], Bai, X.[Xiao], Gao, Y.,
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers,
GeoRS(54), No. 11, November 2016, pp. 6531-6544.
IEEE DOI 1610
Dictionaries BibRef

Li, X.[Xiaorun], Cui, J.T.[Jian-Tao], Zhao, L.Y.[Liao-Ying],
Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization,
SIViP(8), No. 8, November 2014, pp. 1555-1567.
WWW Link. 1411
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 1112
BibRef
Earlier:
L_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing,
DICTA10(447-453).
IEEE DOI 1012
BibRef

Li, X., Zhou, J., Tong, L., Yu, X., Guo, J., Zhao, C.,
Structured Discriminative Nonnegative Matrix Factorization for Hyperspectral Unmixing,
ICIP16(1848-1852)
IEEE DOI 1610
Hyperspectral imaging BibRef

Shu, Z.Q.[Zhen-Qiu], Zhou, J.[Jun], Tong, L.[Lei], Bai, X.[Xiao], Zhao, C.X.[Chun-Xia],
Multilayer manifold and sparsity constrained nonnegative matrix factorization for hyperspectral unmixing,
ICIP15(2174-2178)
IEEE DOI 1512
NMF 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 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 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 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 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 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 1112
BibRef

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

Wei, Q., Chen, M., Tourneret, J.Y., Godsill, S.,
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model,
GeoRS(55), No. 8, August 2017, pp. 4534-4544.
IEEE DOI 1708
Estimation, Hyperspectral imaging, Minerals, Mixture models, Optimization, Block coordinate descent (BCD), gradient projection method, multilinear model, nonlinear, unmixing, (NLU) BibRef

Thouvenin, P.A., Dobigeon, N., Tourneret, J.Y.[Jean-Yves],
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability,
IP(25), No. 9, September 2016, pp. 3979-3990.
IEEE DOI 1609
approximation theory BibRef

Halimi, A., Dobigeon, N., Tourneret, J.Y.,
Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability,
IP(24), No. 12, December 2015, pp. 4904-4917.
IEEE DOI 1512
Monte Carlo methods BibRef

Altmann, Y., Dobigeon, N., McLaughlin, S., Tourneret, J.Y.,
Residual Component Analysis of Hyperspectral Images: Application to Joint Nonlinear Unmixing and Nonlinearity Detection,
IP(23), No. 5, May 2014, pp. 2148-2158.
IEEE DOI 1405
Gaussian noise 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 1202
BibRef

Altmann, Y., Dobigeon, N., Tourneret, J.Y.,
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model,
IP(22), No. 4, April 2013, pp. 1267-1276.
IEEE DOI 1303
BibRef

Altmann, Y., Dobigeon, N., Tourneret, J.Y.,
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm,
IP(23), No. 6, June 2014, pp. 2663-2675.
IEEE DOI 1406
Approximation algorithms 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 1112
BibRef

Heylen, R., Scheunders, P.,
A Multilinear Mixing Model for Nonlinear Spectral Unmixing,
GeoRS(54), No. 1, January 2016, pp. 240-251.
IEEE DOI 1601
hyperspectral imaging 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 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 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 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 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.
DOI Link 1203
BibRef

Honeine, P., Richard, C.,
Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach,
GeoRS(50), No. 6, June 2012, pp. 2185-2195.
IEEE DOI 1205
BibRef

Karoui, M.S.[Moussa Sofiane], Deville, Y.[Yannick], Hosseini, S.[Shahram], Ouamri, A.[Abdelaziz],
Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints,
PR(45), No. 12, December 2012, pp. 4263-4278.
Elsevier DOI 1208
Multispectral spatial unmixing; Blind source separation; Sparse component analysis; Correlation; Clustering; Non-negativity constraints BibRef

Warren, R.E., Osher, S.J., Vanderbeek, R.G.,
Multiple Aerosol Unmixing by the Split Bregman Algorithm,
GeoRS(50), No. 9, September 2012, pp. 3271-3279.
IEEE DOI 1209
Not really mixed pixels, but close. BibRef

Eches, O., Benediktsson, J.A., Dobigeon, N., Tourneret, J.Y.,
Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images,
IP(22), No. 1, January 2013, pp. 5-16.
IEEE DOI 1301
BibRef

Luo, B., Yang, C., Chanussot, J., Zhang, L.,
Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery,
GeoRS(51), No. 1, January 2013, pp. 162-173.
IEEE DOI 1301
BibRef

Zare, A., Gader, P.D., Casella, G.,
Sampling Piecewise Convex Unmixing and Endmember Extraction,
GeoRS(51), No. 3, March 2013, pp. 1655-1665.
IEEE DOI 1303
BibRef

Lu, X., Wu, H., Yuan, Y., Yan, P., Li, X.,
Manifold Regularized Sparse NMF for Hyperspectral Unmixing,
GeoRS(51), No. 5, May 2013, pp. 2815-2826.
IEEE DOI 1305
BibRef

Lu, X., Wu, H., Yuan, Y.,
Double Constrained NMF for Hyperspectral Unmixing,
GeoRS(52), No. 5, May 2014, pp. 2746-2758.
IEEE DOI 1403
Clustering-based regularization BibRef

Yuan, Y.[Yuan], Fu, M.[Min], Lu, X.Q.[Xiao-Qiang],
Substance Dependence Constrained Sparse NMF for Hyperspectral Unmixing,
GeoRS(53), No. 6, June 2015, pp. 2975-2986.
IEEE DOI 1503
geophysical image processing See also Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images. BibRef

Zare, A., Gader, P.D., Bchir, O., Frigui, H.,
Piecewise Convex Multiple-Model Endmember Detection and Spectral Unmixing,
GeoRS(51), No. 5, May 2013, pp. 2853-2862.
IEEE DOI 1305
BibRef

Stites, M., Gunther, J., Moon, T., Williams, G.,
Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches,
RS(5), No. 4, April 2013, pp. 1974-1997.
DOI Link 1305
BibRef

Zhao, X.L., Wang, F., Huang, T.Z., Ng, M.K., Plemmons, R.J.,
Deblurring and Sparse Unmixing for Hyperspectral Images,
GeoRS(51), No. 7, 2013, pp. 4045-4058.
IEEE DOI 1307
Matrix decomposition; deblurring; total variation (TV) BibRef

Wang, L.[Liguo], Liu, D.F.[Dan-Feng], Wang, Q.M.[Qun-Ming],
Geometric Method of Fully Constrained Least Squares Linear Spectral Mixture Analysis,
GeoRS(51), No. 6, 2013, pp. 3558-3566.
IEEE DOI 1307
mixture analysis; hyperspectral data processing; spectral unmixing BibRef

Dowler, S.W., Takashima, R., Andrews, M.,
Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis,
IP(22), No. 7, 2013, pp. 2835-2848.
IEEE DOI 1307
LDU decomposition; pixel removal; N-FINDR; unmixing BibRef

Zhu, F.Y.[Fei-Yun], Wang, Y.[Ying], Xiang, S.M.[Shi-Ming], Fan, B.[Bin], Pan, C.H.[Chun-Hong],
Structured Sparse Method for Hyperspectral Unmixing,
PandRS(88), No. 1, 2014, pp. 101-118.
Elsevier DOI 1402
Hyperspectral Unmixing (HU) BibRef

Wang, Y.[Ying], Pan, C.H.[Chun-Hong], Xiang, S.M.[Shi-Ming], Zhu, F.Y.[Fei-Yen],
Robust Hyperspectral Unmixing With Correntropy-Based Metric,
IP(24), No. 11, November 2015, pp. 4027-4040.
IEEE DOI 1509
geophysical image processing BibRef

Shi, Z., Tang, W., Duren, Z., Jiang, Z.,
Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data,
GeoRS(52), No. 6, June 2014, pp. 3256-3274.
IEEE DOI 1403
Hyperspectral imaging BibRef

Henrot, S., Soussen, C., Dossot, M., Brie, D.,
Does Deblurring Improve Geometrical Hyperspectral Unmixing?,
IP(23), No. 3, March 2014, pp. 1169-1180.
IEEE DOI 1403
Raman spectroscopy BibRef

Henrot, S., Chanussot, J., Jutten, C.,
Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images,
IP(25), No. 7, July 2016, pp. 3219-3232.
IEEE DOI 1606
BibRef
And: Correction: IP(25), No. 9, September 2016, pp. 4443-4443.
IEEE DOI 1609
Hyperspectral imaging; digital signatures BibRef

Ma, W.K., Bioucas-Dias, J.M., Chan, T.H.[Tsung-Han], Gillis, N., Gader, P., Plaza, A.J., Ambikapathi, A., Chi, C.Y.[Chong-Yung],
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing,
SPMag(31), No. 1, January 2014, pp. 67-81.
IEEE DOI 1403
blind source separation BibRef

Gillis, N.[Nicolas], Ma, W.K.[Wing-Kin],
Enhancing Pure-Pixel Identification Performance via Preconditioning,
SIIMS(8), No. 2, 2015, pp. 1161-1186.
DOI Link 1507
used for blind hyperspectral unmixing. BibRef

Dobigeon, N., Tourneret, J.Y., Richard, C., Bermudez, J.C.M., McLaughlin, S., Hero, A.O.,
Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms,
SPMag(31), No. 1, January 2014, pp. 82-94.
IEEE DOI 1403
hyperspectral imaging BibRef

Zare, A., Ho, K.C.,
Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing,
SPMag(31), No. 1, January 2014, pp. 95-104.
IEEE DOI 1403
geophysical image processing BibRef

Tang, W.[Wei], Shi, Z.W.[Zhen-Wei], Wu, Y.[Ying],
Regularized Simultaneous Forward-Backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data,
GeoRS(52), No. 9, Sept 2014, pp. 5271-5288.
IEEE DOI 1407
computational complexity BibRef

Tang, W.[Wei], Shi, Z.W.[Zhen-Wei], Wu, Y.[Ying], Zhang, C.S.[Chang-Shui],
Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information,
GeoRS(53), No. 2, February 2015, pp. 770-783.
IEEE DOI 1411
data analysis BibRef

Yang, S.[Shuo], Shi, Z.W.[Zhen-Wei], Tang, W.[Wei],
Robust Hyperspectral Image Target Detection Using an Inequality Constraint,
GeoRS(53), No. 6, June 2015, pp. 3389-3404.
IEEE DOI 1503
geophysical image processing BibRef

Yang, S.[Shuo], Shi, Z.W.[Zhen-Wei],
Hyperspectral Image Target Detection Improvement Based on Total Variation,
IP(25), No. 5, May 2016, pp. 2249-2258.
IEEE DOI 1604
Detection algorithms BibRef

Bendoumi, M., He, M., Mei, S.,
Hyperspectral Image Resolution Enhancement Using High-Resolution Multispectral Image Based on Spectral Unmixing,
GeoRS(52), No. 10, October 2014, pp. 6574-6583.
IEEE DOI 1407
Hyperspectral sensors BibRef

Sigurdsson, J., Ulfarsson, M.O., Sveinsson, J.R.,
Hyperspectral Unmixing With L_q Regularization,
GeoRS(52), No. 11, November 2014, pp. 6793-6806.
IEEE DOI 1407
Cost function BibRef

Sigurdsson, J., Ulfarsson, M.O., Sveinsson, J.R.,
Blind Hyperspectral Unmixing Using Total Variation and L_q Sparse Regularization,
GeoRS(54), No. 11, November 2016, pp. 6371-6384.
IEEE DOI 1610
Estimation BibRef

Liu, J., Zhang, J.,
Spectral Unmixing via Compressive Sensing,
GeoRS(52), No. 11, November 2014, pp. 7099-7110.
IEEE DOI 1407
Algorithm design and analysis BibRef

Sánchez, S.[Sergio], Plaza, A.[Antonio],
Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUs,
RealTimeIP(9), No. 3, September 2014, pp. 397-405.
WWW Link. 1408
BibRef

Wang, N.[Nan], Du, B.[Bo], Zhang, L.P.[Liang-Pei], Zhang, L.[Lifu],
An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing,
GeoRS(53), No. 1, January 2015, pp. 416-428.
IEEE DOI 1410
geophysical image processing BibRef

Zhang, L.P.[Liang-Pei], Zhu, X.J.[Xiao-Jie], Zhang, L.F.[Le-Fei], Du, B.[Bo],
Multidomain Subspace Classification for Hyperspectral Images,
GeoRS(54), No. 10, October 2016, pp. 6138-6150.
IEEE DOI 1610
hyperspectral imaging BibRef

Zhang, B.[Bing], Zhuang, L.[Lina], Gao, L.[Lianru], Luo, W.[Wenfei], Ran, Q.[Qiong], Du, Q.[Qian],
PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model,
GeoRS(52), No. 12, December 2014, pp. 7782-7792.
IEEE DOI 1410
expectation-maximisation algorithm BibRef

Feng, R.[Ruyi], Zhong, Y.F.[Yan-Fei], Zhang, L.P.[Liang-Pei],
Adaptive non-local Euclidean medians sparse unmixing for hyperspectral imagery,
PandRS(97), No. 1, 2014, pp. 9-24.
Elsevier DOI 1410
Hyperspectral imagery BibRef

Sun, L.[Le], Wu, Z.[Zebin], Liu, J.J.[Jian-Jun], Xiao, L.[Liang], Wei, Z.H.[Zhi-Hui],
Supervised Spectral-Spatial Hyperspectral Image Classification With Weighted Markov Random Fields,
GeoRS(53), No. 3, March 2015, pp. 1490-1503.
IEEE DOI 1402
Markov processes BibRef

He, L.[Lin], Li, Y.Q.[Yuan-Qing], Li, X.X.[Xiao-Xin], Wu, W.[Wei],
Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation,
GeoRS(53), No. 5, May 2015, pp. 2696-2712.
IEEE DOI 1502
geophysical image processing BibRef

Liu, J.J.[Jian-Jun], Xiao, Z.Y.[Zhi-Yong], Chen, Y.F.[Yu-Feng], Yang, J.L.[Jin-Long],
Spatial-Spectral Graph Regularized Kernel Sparse Representation for Hyperspectral Image Classification,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Sun, L.[Le], Wu, Z.[Zebin], Wei, Z.H.[Zhi-Hui], Liu, J.J.[Jian-Jun], Li, X.X.[Xing-Xiu],
Supervised hyperspectral image classification combining sparse unmixing and spatial constraint,
CVRS12(110-115).
IEEE DOI 1302
BibRef

Ammanouil, R., Ferrari, A., Richard, C., Mary, D.,
Blind and Fully Constrained Unmixing of Hyperspectral Images,
IP(23), No. 12, December 2014, pp. 5510-5518.
IEEE DOI 1412
convex programming BibRef

Ammanouil, R., Ferrari, A., Richard, C., Mathieu, S.,
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions,
IP(26), No. 1, January 2017, pp. 340-354.
IEEE DOI 1612
Hilbert spaces BibRef

Zhu, F.Y.[Fei-Yun], Wang, Y.[Ying], Fan, B.[Bin], Xiang, S.M.[Shi-Ming], Meng, G.F.[Geo-Feng], Pan, C.H.[Chun-Hong],
Spectral Unmixing via Data-Guided Sparsity,
IP(23), No. 12, December 2014, pp. 5412-5427.
IEEE DOI 1412
hyperspectral imaging BibRef

Bauer, S., Stefan, J., Michelsburg, M., Laengle, T., Leon, F.P.,
Robustness Improvement of Hyperspectral Image Unmixing by Spatial Second-Order Regularization,
IP(23), No. 12, December 2014, pp. 5209-5221.
IEEE DOI 1412
hyperspectral imaging BibRef

Akhtar, N.[Naveed], Shafait, F.[Faisal], Mian, A.[Ajmal],
Futuristic Greedy Approach to Sparse Unmixing of Hyperspectral Data,
GeoRS(53), No. 4, April 2015, pp. 2157-2174.
IEEE DOI 1502
BibRef
Earlier:
SUnGP: A Greedy Sparse Approximation Algorithm for Hyperspectral Unmixing,
ICPR14(3726-3731)
IEEE DOI 1412
BibRef

Akhtar, N.[Naveed], Shafait, F.[Faisal], Mian, A.[Ajmal],
Discriminative Bayesian Dictionary Learning for Classification,
PAMI(38), No. 12, December 2016, pp. 2374-2388.
IEEE DOI 1609
BibRef
Earlier:
Bayesian sparse representation for hyperspectral image super resolution,
CVPR15(3631-3640)
IEEE DOI 1510
BibRef
Earlier:
Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution,
ECCV14(VII: 63-78).
Springer DOI 1408
Analytical models. geophysical image processing. Approximation algorithms BibRef

Akhtar, N.[Naveed], Mian, A.[Ajmal],
RCMF: Robust Constrained Matrix Factorization for Hyperspectral Unmixing,
GeoRS(55), No. 6, June 2017, pp. 3354-3366.
IEEE DOI 1706
Blind source separation, Dictionaries, Hyperspectral imaging, Indexes, Robustness, Sparse matrices, Blind source separation, hyperspectral unmixing, robust matrix factorization, sparse representation, unsupervised, unmixing BibRef

Akhtar, N.[Naveed], Shafait, F.[Faisal], Mian, A.[Ajmal],
Hierarchical Beta Process with Gaussian Process Prior for Hyperspectral Image Super Resolution,
ECCV16(III: 103-120).
Springer DOI 1611
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Akhtar, N.[Naveed], Shafait, F.[Faisal], Mian, A.[Ajmal],
Efficient classification with sparsity augmented collaborative representation,
PR(65), No. 1, 2017, pp. 136-145.
Elsevier DOI 1702
Multi-class classification BibRef

Li, J.[Jun], Dopido, I., Gamba, P., Plaza, A.,
Complementarity of Discriminative Classifiers and Spectral Unmixing Techniques for the Interpretation of Hyperspectral Images,
GeoRS(53), No. 5, May 2015, pp. 2899-2912.
IEEE DOI 1502
computational complexity BibRef

Marrero, R., Lopez, S., Callico, G.M., Veganzones, M.A., Plaza, A., Chanussot, J., Sarmiento, R.,
A Novel Negative Abundance-Oriented Hyperspectral Unmixing Algorithm,
GeoRS(53), No. 7, July 2015, pp. 3772-3790.
IEEE DOI 1503
Algorithm design and analysis BibRef

Li, J., Agathos, A., Zaharie, D., Bioucas-Dias, J.M., Plaza, A., Li, X.,
Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing,
GeoRS(53), No. 9, September 2015, pp. 5067-5082.
IEEE DOI 1506
Algorithm design and analysis BibRef

Li, J., Bioucas-Dias, J.M., Plaza, A., Liu, L.,
Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing,
GeoRS(54), No. 10, October 2016, pp. 6076-6090.
IEEE DOI 1610
hyperspectral imaging BibRef

Li, X., Jia, X., Wang, L., Zhao, K.,
On Spectral Unmixing Resolution Using Extended Support Vector Machines,
GeoRS(53), No. 9, September 2015, pp. 4985-4996.
IEEE DOI 1506
Analytical models BibRef

Sánchez, S.[Sergio], Ramalho, R.[Rui], Sousa, L.[Leonel], Plaza, A.[Antonio],
Real-time implementation of remotely sensed hyperspectral image unmixing on GPUs,
RealTimeIP(10), No. 3, September 2015, pp. 469-483.
Springer DOI 1509
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Lin, C.H.[Chia-Hsiang], Ma, W.K.[Wing-Kin], Li, W.C.A.[Wei-Chi-Ang], Chi, C.Y.[Chong-Yung], Ambikapathi, A.,
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case,
GeoRS(53), No. 10, October 2015, pp. 5530-5546.
IEEE DOI 1509
geophysical image processing BibRef

Li, C.[Chunzhi], Chen, X.H.[Xiao-Hua], Jiang, Y.[Yunliang],
On Diverse Noises in Hyperspectral Unmixing,
GeoRS(53), No. 10, October 2015, pp. 5388-5402.
IEEE DOI 1509
hyperspectral imaging BibRef

Kuo, C.Y.[Chun-Yen], Lin, G.X.[Gang-Xuan], Lu, C.S.[Chun-Shien],
A Necessary and Sufficient Condition for Generalized Demixing,
SPLetters(22), No. 11, November 2015, pp. 2049-2053.
IEEE DOI 1509
compressed sensing BibRef

Doxani, G.[Georgia], Mitraka, Z.[Zina], Gascon, F.[Ferran], Goryl, P.[Philippe], Bojkov, B.R.[Bojan R.],
A Spectral Unmixing Model for the Integration of Multi-Sensor Imagery: A Tool to Generate Consistent Time Series Data,
RS(7), No. 10, 2015, pp. 14000.
DOI Link 1511
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Fevotte, C., Dobigeon, N.,
Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization,
IP(24), No. 12, December 2015, pp. 4810-4819.
IEEE DOI 1512
geophysical image processing BibRef

Altmann, Y., Pereyra, M., Bioucas-Dias, J.,
Collaborative sparse regression using spatially correlated supports-Application to hyperspectral unmixing,
IP(24), No. 12, December 2015, pp. 5800-5811.
IEEE DOI 1512
Bayes methods BibRef

Guerra, R., Santos, L., Lopez, S., Sarmiento, R.,
A New Fast Algorithm for Linearly Unmixing Hyperspectral Images,
GeoRS(53), No. 12, December 2015, pp. 6752-6765.
IEEE DOI 1512
geophysical image processing BibRef

Guerra, R., López, S., Sarmiento, R.,
A Computationally Efficient Algorithm for Fusing Multispectral and Hyperspectral Images,
GeoRS(54), No. 10, October 2016, pp. 5712-5728.
IEEE DOI 1610
hyperspectral imaging BibRef

Zheng, C.Y.[Cheng Yong], Li, H.[Hong], Wang, Q.[Qiong], Chen, C.L.P.[C.L. Philip],
Reweighted Sparse Regression for Hyperspectral Unmixing,
GeoRS(54), No. 1, January 2016, pp. 479-488.
IEEE DOI 1601
geophysical image processing BibRef

Salehani, Y.E.[Yaser Esmaeili], Gazor, S.[Saeed], Kim, I.M.[Il-Min], Yousefi, S.[Shahram],
L_0-Norm Sparse Hyperspectral Unmixing Using Arctan Smoothing,
RS(8), No. 3, 2016, pp. 187.
DOI Link 1604
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Salehani, Y.E.[Yaser Esmaeili], Cheriet, M.[Mohamed],
Non-dictionary Aided Sparse Unmixing of Hyperspectral Images via Weighted Nonnegative Matrix Factorization,
ICIAR17(596-604).
Springer DOI 1706
BibRef

Salehani, Y.E.[Yaser Esmaeili], Gazor, S.[Saeed],
Collaborative Unmixing Hyperspectral Imagery via Nonnegative Matrix Factorization,
ICISP16(118-126).
WWW Link. 1606
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Zhang, G., Xu, Y., Fang, F.,
Framelet-Based Sparse Unmixing of Hyperspectral Images,
IP(25), No. 4, April 2016, pp. 1516-1529.
IEEE DOI 1604
approximation theory BibRef

Uezato, T., Murphy, R.J., Melkumyan, A., Chlingaryan, A.,
A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes,
GeoRS(54), No. 5, May 2016, pp. 2812-2831.
IEEE DOI 1604
Gaussian processes BibRef

Uezato, T., Murphy, R.J., Melkumyan, A., Chlingaryan, A.,
A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes,
GeoRS(54), No. 11, November 2016, pp. 6712-6731.
IEEE DOI 1610
Data mining BibRef

Uezato, T., Murphy, R.J., Melkumyan, A., Chlingaryan, A.,
Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates,
IP(25), No. 12, December 2016, pp. 5563-5575.
IEEE DOI 1612
Gaussian processes BibRef

Xu, C.[Chao], Liu, Z.L.[Zhao-Li], Hou, G.L.[Guang-Lei],
Simulation of the Impact of a Sensor's PSF on Mixed Pixel Decomposition: 1. Nonuniformity Effect,
RS(8), No. 5, 2016, pp. 437.
DOI Link 1606
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Liu, R.[Rong], Du, B.[Bo], Zhang, L.P.[Liang-Pei],
Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF,
RS(8), No. 6, 2016, pp. 464.
DOI Link 1608
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Li, C.[Chang], Ma, Y.[Yong], Mei, X.G.[Xiao-Guang], Liu, C.[Chengyin], Ma, J.[Jiayi],
Hyperspectral Unmixing with Robust Collaborative Sparse Regression,
RS(8), No. 7, 2016, pp. 588.
DOI Link 1608
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Ma, Y.[Yong], Li, C.[Chang], Mei, X.G.[Xiao-Guang], Liu, C.[Chengyin], Ma, J.[Jiayi],
Robust Sparse Hyperspectral Unmixing With L_2,1 Norm,
GeoRS(55), No. 3, March 2017, pp. 1227-1239.
IEEE DOI 1703
Collaboration BibRef

Heylen, R., Zare, A., Gader, P., Scheunders, P.,
Hyperspectral Unmixing With Endmember Variability via Alternating Angle Minimization,
GeoRS(54), No. 8, August 2016, pp. 4983-4993.
IEEE DOI 1608
geophysics computing BibRef

Giampouras, P.V., Themelis, K.E., Rontogiannis, A.A., Koutroumbas, K.D.,
Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing,
GeoRS(54), No. 8, August 2016, pp. 4775-4789.
IEEE DOI 1608
geophysical image processing BibRef

Drumetz, L., Veganzones, M.A., Henrot, S., Phlypo, R., Chanussot, J., Jutten, C.,
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability,
IP(25), No. 8, August 2016, pp. 3890-3905.
IEEE DOI 1608
data analysis BibRef

Pan, Z.W., Shen, H.L., Li, C., Chen, S.J., Xin, J.H.,
Fast Multispectral Imaging by Spatial Pixel-Binning and Spectral Unmixing,
IP(25), No. 8, August 2016, pp. 3612-3625.
IEEE DOI 1608
image reconstruction BibRef

Fu, X., Ma, W.K., Bioucas-Dias, J.M., Chan, T.H.,
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches,
GeoRS(54), No. 9, September 2016, pp. 5171-5184.
IEEE DOI 1609
geophysical image processing BibRef

Halimi, A., Honeine, P., Bioucas-Dias, J.M.,
Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects,
IP(25), No. 10, October 2016, pp. 4565-4579.
IEEE DOI 1610
computational complexity BibRef

Chen, F., Wang, K., Tang, T.F.,
Spectral Unmixing Using a Sparse Multiple-Endmember Spectral Mixture Model,
GeoRS(54), No. 10, October 2016, pp. 5846-5861.
IEEE DOI 1610
geophysical image processing BibRef

Kong, F.Q.[Fan-Qiang], Li, Y.S.[Yun-Song], Guo, W.J.[Wen-Jun],
Regularized MSBL algorithm with spatial correlation for sparse hyperspectral unmixing,
JVCIR(40, Part B), No. 1, 2016, pp. 525-537.
Elsevier DOI 1610
Hyperspectral unmixing BibRef

Zhong, Y.F.[Yan-Fei], Wang, X.Y.[Xin-Yu], Zhao, L.[Lin], Feng, R.[Ruyi], Zhang, L.P.[Liang-Pei], Xu, Y.Y.[Yan-Yan],
Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery,
PandRS(119), No. 1, 2016, pp. 49-63.
Elsevier DOI 1610
Hyperspectral remote sensing BibRef

Zhou, Y., Rangarajan, A., Gader, P.D.,
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation,
IP(25), No. 12, December 2016, pp. 5987-6002.
IEEE DOI 1612
geophysical image processing BibRef

Nakhostin, S., Clenet, H., Corpetti, T., Courty, N.,
Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images,
GeoRS(54), No. 12, December 2016, pp. 6879-6894.
IEEE DOI 1612
data analysis BibRef

Chen, P.[Peng], Nelson, J.D.B.[James D.B.], Tourneret, J.Y.[Jean-Yves],
Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification,
IP(26), No. 1, January 2017, pp. 426-438.
IEEE DOI 1612
Markov processes BibRef

Xu, X.[Xia], Shi, Z.W.[Zhen-Wei],
Multi-objective based spectral unmixing for hyperspectral images,
PandRS(124), No. 1, 2017, pp. 54-69.
Elsevier DOI 1702
Hyperspectral image BibRef

Qi, K.L.[Kun-Lun], Liu, W.X.[Wen-Xuan], Yang, C.[Chao], Guan, Q.F.[Qing-Feng], Wu, H.Y.[Hua-Yi],
Multi-Task Joint Sparse and Low-Rank Representation for the Scene Classification of High-Resolution Remote Sensing Image,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Qian, Y., Xiong, F., Zeng, S., Zhou, J., Tang, Y.Y.,
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery,
GeoRS(55), No. 3, March 2017, pp. 1776-1792.
IEEE DOI 1703
Distance measurement BibRef

Yokoya, N., Zhu, X.X., Plaza, A.,
Multisensor Coupled Spectral Unmixing for Time-Series Analysis,
GeoRS(55), No. 5, May 2017, pp. 2842-2857.
IEEE DOI 1705
calibration, geophysical image processing, hyperspectral imaging, remote sensing, time series, AD 2011 to 2015, Fukushima, Hyperion images, Japan, Landsat-8 images, MuCSUn framework, amospheric normalization, cross calibration, graphs regularization, multisensor coupled spectral unmixing, nonoptimal atmospheric correction, spectral response functions, time series analysis, Atmospheric modeling, Earth, Mixture models, Optimization, Remote sensing, Robustness, Satellites, Change detection, coupled spectral unmixing, multisensor data fusion, time-series, analysis BibRef

Williams, M.D.[McKay D.], Parody, R.J.[Robert J.], Fafard, A.J.[Alexander J.], Kerekes, J.P.[John P.], van Aardt, J.[Jan],
Validation of Abundance Map Reference Data for Spectral Unmixing,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Williams, M.D.[McKay D.], Kerekes, J.P.[John P.], van Aardt, J.[Jan],
Application of Abundance Map Reference Data for Spectral Unmixing,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Berman, M., Bischof, L., Lagerstrom, R., Guo, Y., Huntington, J., Mason, P., Green, A.A.,
A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra,
GeoRS(55), No. 6, June 2017, pp. 3588-3610.
IEEE DOI 1706
Absorption, Algorithm design and analysis, Australia, Frequency selective surfaces, Geologic measurements, Libraries, Minerals, Canonical variates (CVs), cubic spline, linear unmixing, shortwave infrared (SWIR) spectra, sparse unmixing, spectral, library BibRef

Marinoni, A., Plaza, A., Gamba, P.,
A Novel Preunmixing Framework for Efficient Detection of Linear Mixtures in Hyperspectral Images,
GeoRS(55), No. 8, August 2017, pp. 4325-4333.
IEEE DOI 1708
Algorithm design and analysis, Hyperspectral imaging, Linearity, Optimization, Reliability, Nonorthogonal projection, remote sensing, spectral analysis, spectral, unmixing BibRef

Ahmed, A.M.[Asmau M.], Duran, O.[Olga], Zweiri, Y.[Yahya], Smith, M.[Mike],
Hybrid Spectral Unmixing: Using Artificial Neural Networks for Linear/Non-Linear Switching,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef


Ke, J., Guo, Y., Sowmya, A.,
A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation,
PBVS17(260-266)
IEEE DOI 1709
Algorithm design and analysis, Approximation algorithms, Classification algorithms, Computational modeling, Estimation, Image segmentation, Libraries BibRef

Zhou, Y., Rangarajan, A., Gader, P.D.[Paul D.],
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening,
EarthVision17(1571-1579)
IEEE DOI 1709
Color, Hyperspectral imaging, Linear programming, Registers, Spatial resolution. BibRef

Chen, X.M.[Xin-Meng], Liu, J.Y.[Ji-Ying], Zhu, J.[Jubo],
Compressive hyperspectral imaging and unmixing using spectral library,
ICIVC17(516-520)
IEEE DOI 1708
Compressed sensing, Hyperspectral imaging, Image coding, Image reconstruction, Libraries, Matrices, compressive sensing, unmixing BibRef

Neumayer, S.[Sebastian], Nimmer, M.[Max], Steidl, G.[Gabriele], Stephani, H.[Henrike],
On a Projected Weiszfeld Algorithm,
SSVM17(486-497).
Springer DOI 1706
Spectral demixing. BibRef

Li, C., Ma, Y., Gao, Y., Wang, Z., Ma, J.,
Sparse unmixing of hyperspectral data based on robust linear mixing model,
VCIP16(1-4)
IEEE DOI 1701
Additives BibRef

Figliuzzi, B.[Bruno], Velasco-Forero, S.[Santiago], Bilodeau, M.[Michel], Angulo, J.[Jesus],
A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra,
ACIVS16(263-274).
Springer DOI 1611
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Sun, L., Jeon, B., Zheng, Y., Chen, Y.,
Hyperspectral unmixing based on L1-L2 sparsity and total variation,
ICIP16(4349-4353)
IEEE DOI 1610
Hyperspectral imaging BibRef

Meyer, T.R., Drumetz, L., Chanussot, J., Bertozzi, A.L., Jutten, C.,
Hyperspectral unmixing with material variability using social sparsity,
ICIP16(2187-2191)
IEEE DOI 1610
Asphalt BibRef

Ziemann, A.K.,
Local spectral unmixing for target detection,
Southwest16(77-80)
IEEE DOI 1605
Clutter BibRef

Lanaras, C., Baltsavias, E., Schindler, K.,
Hyperspectral Super-Resolution by Coupled Spectral Unmixing,
ICCV15(3586-3594)
IEEE DOI 1602
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And:
Advances in Hyperspectral and Multispectral Image Fusion and Spectral Unmixing,
GeoHyper15(451-458).
DOI Link 1602
Cameras BibRef

Pang, Q.Y.[Qing-Yu], Yu, J.[Jing], Sun, W.D.[Wei-Dong],
A spectral unmixing method based on wavelet weighted similarity,
ICIP15(1865-1869)
IEEE DOI 1512
nonnegative matrix factorization BibRef

Arberet, S.[Simon],
Hyper-DEMIX: Blind source separation of hyperspectral images using local ML estimates,
ICIP10(1393-1396).
IEEE DOI 1009
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Ramak, R., Valadan Zouj, M.J., Mojaradi, B.,
Improving Linear Spectral Unmixing Through Local Endmember Detection,
PIA15(177-181).
DOI Link 1504
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Heylen, R.[Rob], Scheunders, P.[Paul],
Hyperspectral unmixing using an active set algorithm,
ICIP14(694-697)
IEEE DOI 1502
Algorithm design and analysis BibRef

Lee, W.Y.L.[William Y.L.], Andrews, M.[Mark],
Blind spectral unmixing for compressive hyperspectral imaging of highly mixed data,
ICIP14(1312-1316)
IEEE DOI 1502
Compressed sensing BibRef

Legendre, M.[Maxime], Moussaoui, S.[Said], Chouzenoux, E.[Emilie], Idier, J.[Jerome],
Primal-dual interior-point optimization based on majorization-minimization for edge-preserving spectral unmixing,
ICIP14(4161-4165)
IEEE DOI 1502
Approximation algorithms BibRef

Cubero-Castan, M.[Manuel], Chanussot, J.[Jocelyn], Achard, V.[Veronique], Briottet, X.[Xavier], Shimoni, M.[Michal],
A physics-based unmixing method for thermal hyperspectral images,
ICIP14(5082-5086)
IEEE DOI 1502
Asphalt BibRef

Jiang, X.W.[Xin-Wei], Ma, L.[Lei], Yang, Y.[Yiping],
Cluster constraint based sparse NMF for hyperspectral imagery unmixing,
ICIP14(5107-5111)
IEEE DOI 1502
Clustering algorithms BibRef

Henrot, S.[Simon], Soussen, C.[Charles], Brie, D.[David],
Sequential deconvolution: Unmixing of blurred hyperspectral data,
ICIP14(5152-5156)
IEEE DOI 1502
Convolution BibRef

Tong, L.[Lei], Zhou, J.[Jun], Bai, X.[Xiao], Gao, Y.S.[Yong-Sheng],
Dual Graph Regularized NMF for Hyperspectral Unmixing,
DICTA14(1-8)
IEEE DOI 1502
geophysical image processing BibRef

Jenzri, H.[Hamdi], Frigui, H.[Hichem], Gader, P.[Paul],
Robust Context Dependent Spectral Unmixing,
ICPR14(643-647)
IEEE DOI 1412
Clustering algorithms BibRef

Akhtar, N.[Naveed], Sahfait, F.[Faisal], Mian, A.[Ajmal],
Repeated constrained sparse coding with partial dictionaries for hyperspectral unmixing,
WACV14(953-960)
IEEE DOI 1406
Coherence BibRef

Wemmert, C.[Cedric], Kruger, J.M.[Juliane M.], Forestier, G.[Germain], Sternberger, L.[Ludovic], Feuerhake, F.[Friedrich], Gancarski, P.[Pierre],
Stain unmixing in brightfield multiplexed immunohistochemistry,
ICIP13(1125-1129)
IEEE DOI 1402
Deconvolution BibRef

Bendoumi, M.A.[Mohamed Amine], He, M.Y.[Ming-Yi], Mei, S.H.[Shao-Hui], Zhang, Y.F.[Yi-Fan],
Unmixing approach for hyperspectral data resolution enhancement using high resolution multispectral image,
ICARCV12(1369-1373).
IEEE DOI 1304
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Xi, L., Xiaoling, C.,
Spatial Interpolation As A Tool For Spectral Unmixing Of Remotely Sensed Images,
ISPRS12(XXXIX-B7:209-212).
DOI Link 1209
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Michishita, R., Jiang, Z., Xu, B.,
Spectral Unmixing Of Blended Reflectance For Denser Time-series Mapping Of Wetlands,
ISPRS12(XXXIX-B8:491-496).
DOI Link 1209
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Howard, A.M., Bernardes, S., Nibbelink, N., Biondi, L., Presotto, A., Fragaszy, D.M., Madden, M.,
A Maximum Entropy Model Of The Bearded Capuchin Monkey Habitat Incorporating Topography And Spectral Unmixing Analysis,
AnnalsPRS(I-2), No. 2012, pp. 7-11.
HTML Version. 1209
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Alterman, M., Schechner, Y.Y., Weiss, A.,
Multiplexed fluorescence unmixing,
ICCP10(1-8).
IEEE DOI 1208
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Dowler, S.[Shaun], Andrews, M.[Mark],
Abundance guided endmember selection: An algorithm for unmixing hyperspectral data,
ICIP10(2649-2652).
IEEE DOI 1009
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Mittelman, R.[Roni], Hero, A.O.[Alfred O.],
Hyperspectral image segmentation and unmixing using hidden Markov trees,
ICIP10(1373-1376).
IEEE DOI 1009
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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 1009
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Luo, B.[Bin], Chanussot, J.[Jocelyn],
Unsupervised classification of hyperspectral images by using linear unmixing algorithm,
ICIP09(2877-2880).
IEEE DOI 0911
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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 0709
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Berman, M.,
Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging,
AIPR06(15-15).
IEEE DOI 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).
IEEE DOI 0610
BibRef

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


Last update:Sep 18, 2017 at 11:34:11