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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
24032006
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
18142009
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
15402005
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
14791990
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
14042012
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
13242008
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
12022019
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
10652001
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
9242003
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
8582010
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
8512009
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
8112010
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
7692013
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
7372013
Segmentation and classification of hyperspectral images using watershed transformation
Y Tarabalka, J Chanussot, JA Benediktsson
Pattern recognition 43 (7), 2367-2379, 2010
6972010
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
6032018
Big data for remote sensing: Challenges and opportunities
M Chi, A Plaza, JA Benediktsson, Z Sun, J Shen, Y Zhu
Proceedings of the IEEE 104 (11), 2207-2219, 2016
5242016
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
5242013
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
5052014
Consensus theoretic classification methods
JA Benediktsson, PH Swain
IEEE transactions on Systems, Man, and Cybernetics 22 (4), 688-704, 1992
5021992
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