José M. Bioucas Dias
José M. Bioucas Dias
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Portugal
Zweryfikowany adres z lx.it.pt - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
23892005
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 remote …, 2012
22662012
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 Remote …, 2012
22662012
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
18542007
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
12942013
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
12372010
Hyperspectral subspace identification
JM Bioucas-Dias, JMP Nascimento
IEEE Transactions on Geoscience and Remote Sensing 46 (8), 2435-2445, 2008
10652008
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
9972010
Sparse unmixing of hyperspectral data
MD Iordache, JM Bioucas-Dias, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 49 (6), 2014-2039, 2011
8982011
Hyperspectral data exploitation: theory and applications
CI Chang
John Wiley & Sons, 2007
6392007
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
5972011
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
5682012
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
5612007
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 in …, 2010
5452010
Phase unwrapping via graph cuts
JM Bioucas-Dias, G Valadao
IEEE Transactions on Image processing 16 (3), 698-709, 2007
5182007
Hyperspectral pansharpening: A review
L Loncan, LB De Almeida, JM Bioucas-Dias, X Briottet, J Chanussot, ...
IEEE Geoscience and remote sensing magazine 3 (3), 27-46, 2015
4952015
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
4872010
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
4512013
Restoration of Poissonian images using alternating direction optimization
MAT Figueiredo, JM Bioucas-Dias
IEEE transactions on Image Processing 19 (12), 3133-3145, 2010
4452010
A variable splitting augmented Lagrangian approach to linear spectral unmixing
JM Bioucas-Dias
2009 First workshop on hyperspectral image and signal processing: Evolution …, 2009
4432009
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20