JosÚ M. Bioucas Dias
JosÚ M. Bioucas Dias
Instituto de Telecomunicaš§es, Instituto Superior TÚcnico, Universidade de Lisboa, Portugal
Email verificata su lx.it.pt - Home page
TitoloCitata daAnno
Vertex component analysis: A fast algorithm to unmix hyperspectral data
JMP Nascimento, JMB Dias
IEEE transactions on Geoscience and Remote Sensing 43 (4), 898-910, 2005
19442005
Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches
JM Bioucas-Dias, A Plaza, N Dobigeon, M Parente, Q Du, P Gader, ...
IEEE journal of selected topics in applied earth observations and remoteá…, 2012
17072012
Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches
JM Bioucas-Dias, A Plaza, N Dobigeon, M Parente, Q Du, J Chanussot
IEEE Journal of Selected Topics in Applied Earth Observations and Remoteá…, 2012
17072012
A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoration
JM Bioucas-Dias, MAT Figueiredo
IEEE Transactions on Image processing 16 (12), 2992-3004, 2007
15372007
Fast image recovery using variable splitting and constrained optimization
MV Afonso, JM Bioucas-Dias, MAT Figueiredo
IEEE transactions on image processing 19 (9), 2345-2356, 2010
10302010
Hyperspectral subspace identification
JM Bioucas-Dias, JMP Nascimento
IEEE Transactions on Geoscience and Remote Sensing 46 (8), 2435-2445, 2008
8652008
Hyperspectral remote sensing data analysis and future challenges
JM Bioucas-Dias, A Plaza, G Camps-Valls, P Scheunders, N Nasrabadi, ...
IEEE Geoscience and remote sensing magazine 1 (2), 6-36, 2013
8602013
An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems
MV Afonso, JM Bioucas-Dias, MAT Figueiredo
IEEE Transactions on Image Processing 20 (3), 681-695, 2010
8322010
Sparse unmixing of hyperspectral data
MD Iordache, JM Bioucas-Dias, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 49 (6), 2014-2039, 2011
7122011
Hyperspectral data exploitation: theory and applications
CI Chang
John Wiley & Sons, 2007
5532007
Spectral–spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields
J Li, JM Bioucas-Dias, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 50 (3), 809-823, 2011
4742011
Majorization–minimization algorithms for wavelet-based image restoration
MAT Figueiredo, JM Bioucas-Dias, RD Nowak
IEEE Transactions on Image processing 16 (12), 2980-2991, 2007
4632007
Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing
JM Bioucas-Dias, MAT Figueiredo
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution iná…, 2010
4302010
Total variation spatial regularization for sparse hyperspectral unmixing
MD Iordache, JM Bioucas-Dias, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 50 (11), 4484-4502, 2012
4182012
Phase unwrapping via graph cuts
JM Bioucas-Dias, G Valadao
IEEE Transactions on Image processing 16 (3), 698-709, 2007
4022007
Restoration of Poissonian images using alternating direction optimization
MAT Figueiredo, JM Bioucas-Dias
IEEE transactions on Image Processing 19 (12), 3133-3145, 2010
3882010
Does independent component analysis play a role in unmixing hyperspectral data?
JMP Nascimento, JMB Dias
IEEE Transactions on Geoscience and Remote Sensing 43 (1), 175-187, 2005
3862005
Semisupervised hyperspectral image segmentation using multinomial logistic regression with active learning
J Li, JM Bioucas-Dias, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 48 (11), 4085-4098, 2010
3782010
Generalized composite kernel framework for hyperspectral image classification
J Li, PR Marpu, A Plaza, JM Bioucas-Dias, JA Benediktsson
IEEE transactions on geoscience and remote sensing 51 (9), 4816-4829, 2013
3532013
Adaptive total variation image deblurring: a majorization–minimization approach
JP Oliveira, JM Bioucas-Dias, MAT Figueiredo
Signal processing 89 (9), 1683-1693, 2009
3532009
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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