フォロー
Javier Plaza Miguel
Javier Plaza Miguel
IEEE Senior Member, Full Professor, University of Extremadura
確認したメール アドレス: unex.es - ホームページ
タイトル
引用先
引用先
A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
A Plaza, P Martínez, R Pérez, J Plaza
IEEE transactions on geoscience and remote sensing 42 (3), 650-663, 2004
7702004
Spatial/spectral endmember extraction by multidimensional morphological operations
A Plaza, P Martinez, R Pérez, J Plaza
IEEE transactions on geoscience and remote sensing 40 (9), 2025-2041, 2002
7112002
Hyperspectral remote sensing of vegetation
PS Thenkabail, JG Lyon
CRC press, 2016
5992016
Advanced spectral classifiers for hyperspectral images: A review
P Ghamisi, J Plaza, Y Chen, J Li, AJ Plaza
IEEE Geoscience and Remote Sensing Magazine 5 (1), 8-32, 2017
4562017
Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
A Plaza, P Martínez, J Plaza, R Pérez
IEEE Transactions on Geoscience and remote sensing 43 (3), 466-479, 2005
4262005
Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art
P Ghamisi, N Yokoya, J Li, W Liao, S Liu, J Plaza, B Rasti, A Plaza
IEEE Geoscience and Remote Sensing Magazine 5 (4), 37-78, 2017
4072017
A new deep convolutional neural network for fast hyperspectral image classification
ME Paoletti, JM Haut, J Plaza, A Plaza
ISPRS journal of photogrammetry and remote sensing 145, 120-147, 2018
3952018
Deep learning classifiers for hyperspectral imaging: A review
ME Paoletti, JM Haut, J Plaza, A Plaza
ISPRS Journal of Photogrammetry and Remote Sensing 158, 279-317, 2019
3912019
High performance computing in remote sensing
AJ Plaza, CI Chang
CRC Press, 2007
3062007
Commodity cluster-based parallel processing of hyperspectral imagery
A Plaza, D Valencia, J Plaza, P Martinez
Journal of Parallel and Distributed Computing 66 (3), 345-358, 2006
2502006
Deep pyramidal residual networks for spectral–spatial hyperspectral image classification
ME Paoletti, JM Haut, R Fernandez-Beltran, J Plaza, AJ Plaza, F Pla
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 740-754, 2018
2302018
Capsule networks for hyperspectral image classification
ME Paoletti, JM Haut, R Fernandez-Beltran, J Plaza, A Plaza, J Li, F Pla
IEEE Transactions on Geoscience and Remote Sensing 57 (4), 2145-2160, 2018
2172018
Active learning with convolutional neural networks for hyperspectral image classification using a new Bayesian approach
JM Haut, ME Paoletti, J Plaza, J Li, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 56 (11), 6440-6461, 2018
1872018
Remote sensing scene classification using multilayer stacked covariance pooling
N He, L Fang, S Li, A Plaza, J Plaza
IEEE Transactions on Geoscience and Remote Sensing 56 (12), 6899-6910, 2018
1832018
Parallel hyperspectral image and signal processing [applications corner]
A Plaza, J Plaza, A Paz, S Sanchez
IEEE Signal Processing Magazine 28 (3), 119-126, 2011
1712011
A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles
A Plaza, P Martinez, R Perez, J Plaza
Pattern Recognition 37 (6), 1097-1116, 2004
1712004
Feature extraction with multiscale covariance maps for hyperspectral image classification
N He, ME Paoletti, JM Haut, L Fang, S Li, A Plaza, J Plaza
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 755-769, 2018
1532018
A new spatial–spectral feature extraction method for hyperspectral images using local covariance matrix representation
L Fang, N He, S Li, AJ Plaza, J Plaza
IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3534-3546, 2018
1372018
Visual attention-driven hyperspectral image classification
JM Haut, ME Paoletti, J Plaza, A Plaza, J Li
IEEE transactions on geoscience and remote sensing 57 (10), 8065-8080, 2019
1252019
On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images
J Plaza, A Plaza, R Perez, P Martinez
Pattern Recognition 42 (11), 3032-3045, 2009
1232009
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