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Jón Atli Benediktsson
Jón Atli Benediktsson
Rector/President - Professor of Electrical and Computer Engineering, University of Iceland
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Random forests for land cover classification
PO Gislason, JA Benediktsson, JR Sveinsson
Pattern recognition letters 27 (4), 294-300, 2006
20642006
Recent advances in techniques for hyperspectral image processing
A Plaza, JA Benediktsson, JW Boardman, J Brazile, L Bruzzone, ...
Remote sensing of environment 113, S110-S122, 2009
16962009
Neural network approaches versus statistical methods in classification of multisource remote sensing data
JA Benediktsson, PH Swain, OK Ersoy
Vancouver, Canada, July 10-14, 1989) IEEE Transactions on Geoscience and …, 1990
14501990
Classification of hyperspectral data from urban areas based on extended morphological profiles
JA Benediktsson, JA Palmason, JR Sveinsson
IEEE Transactions on Geoscience and Remote Sensing 43 (3), 480-491, 2005
14192005
Advances in spectral-spatial classification of hyperspectral images
M Fauvel, Y Tarabalka, JA Benediktsson, J Chanussot, JC Tilton
Proceedings of the IEEE 101 (3), 652-675, 2012
12752012
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
M Fauvel, JA Benediktsson, J Chanussot, JR Sveinsson
IEEE Transactions on Geoscience and Remote Sensing 46 (11), 3804-3814, 2008
12342008
A new approach for the morphological segmentation of high-resolution satellite imagery
M Pesaresi, JA Benediktsson
IEEE transactions on Geoscience and Remote Sensing 39 (2), 309-320, 2001
10172001
Classification and feature extraction for remote sensing images from urban areas based on morphological transformations
JA Benediktsson, M Pesaresi, K Amason
IEEE transactions on geoscience and remote sensing 41 (9), 1940-1949, 2003
8892003
Spectral–spatial classification of hyperspectral imagery based on partitional clustering techniques
Y Tarabalka, JA Benediktsson, J Chanussot
IEEE transactions on geoscience and remote sensing 47 (8), 2973-2987, 2009
8182009
SVM-and MRF-based method for accurate classification of hyperspectral images
Y Tarabalka, M Fauvel, J Chanussot, JA Benediktsson
IEEE Geoscience and Remote Sensing Letters 7 (4), 736-740, 2010
7732010
Morphological attribute profiles for the analysis of very high resolution images
M Dalla Mura, JA Benediktsson, B Waske, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 48 (10), 3747-3762, 2010
7582010
Deep learning for hyperspectral image classification: An overview
S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6690-6709, 2019
6972019
Advances in hyperspectral image classification: Earth monitoring with statistical learning methods
G Camps-Valls, D Tuia, L Bruzzone, JA Benediktsson
IEEE signal processing magazine 31 (1), 45-54, 2013
6922013
Segmentation and classification of hyperspectral images using watershed transformation
Y Tarabalka, J Chanussot, JA Benediktsson
Pattern Recognition 43 (7), 2367-2379, 2010
6592010
Spectral–spatial hyperspectral image classification with edge-preserving filtering
X Kang, S Li, JA Benediktsson
IEEE transactions on geoscience and remote sensing 52 (5), 2666-2677, 2013
6472013
Consensus theoretic classification methods
JA Benediktsson, PH Swain
IEEE transactions on Systems, Man, and Cybernetics 22 (4), 688-704, 1992
4901992
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
4852013
Fusion of support vector machines for classification of multisensor data
B Waske, JA Benediktsson
IEEE Transactions on geoscience and remote sensing 45 (12), 3858-3866, 2007
4562007
Feature selection based on hybridization of genetic algorithm and particle swarm optimization
P Ghamisi, JA Benediktsson
IEEE Geoscience and remote sensing letters 12 (2), 309-313, 2014
4472014
Generative adversarial networks for hyperspectral image classification
L Zhu, Y Chen, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5046-5063, 2018
4342018
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