Pedram Ghamisi

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Coauteurs

Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Yushi Chen哈尔滨工业大学Adresse e-mail validée de hit.edu.cn
Xiao Xiang ZhuProfessor for Data Science in Earth Observation, TUM & Department Head "EO Data Science", DLRAdresse e-mail validée de tum.de
Micael Santos CouceiroCIPER, ISR-UC, Ingeniarius Lda.Adresse e-mail validée de isr.uc.pt
Behnood RastiHelmholtz-Zentrum Dresden-Rossendorf, Institute Freiberg for Resource TechnologyAdresse e-mail validée de hzdr.de
Richard GloaguenHelmholtz-Institute Freiberg for Resource Technology, Division "Exploration Technology" (head)Adresse e-mail validée de hzdr.de
Naoto YokoyaThe University of TokyoAdresse e-mail validée de k.u-tokyo.ac.jp
Leyuan FangProfessor in College of Electrical and Information Engineering, Hunan UniversityAdresse e-mail validée de hnu.edu.cn
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainAdresse e-mail validée de unex.es
Javier Plaza MiguelIEEE Senior Member, Full Professor, University of ExtremaduraAdresse e-mail validée de unex.es
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Roberto SouzaAssistant Professor, University of CalgaryAdresse e-mail validée de ucalgary.ca
Puhong Duan (段普宏)PhD. Student in College of Electrical and Information Engineering, Hunan UniversityAdresse e-mail validée de hnu.edu.cn
Xudong Kang (康旭东)Hunan UniversityAdresse e-mail validée de hnu.edu.cn
Jocelyn ChanussotGrenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr
Gabriele MoserUniversity of GenoaAdresse e-mail validée de unige.it
Peter M AtkinsonDistinguished Professor and Dean, Faculty of Science and Technology, Lancaster UniversityAdresse e-mail validée de lancaster.ac.uk
Danfeng Hong (洪丹枫)German Aerospace Center (DLR)Adresse e-mail validée de dlr.de
Michael SchmittMunich University of Applied SciencesAdresse e-mail validée de hm.edu
Mauro Dalla MuraGIPSA-lab, Grenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf, Division Exploration, Machine Learning Group (head)

Adresse e-mail validée de hzdr.de - Page d'accueil


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep feature extraction and classification of hyperspectral images based on convolutional neural networks Y Chen, H Jiang, C Li, X Jia, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 54 (10), 6232-6251, 2016	1010	2016
Deep recurrent neural networks for hyperspectral image classification L Mou, P Ghamisi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3639-3655, 2017	384	2017
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, 2015	322	2015
An efficient method for segmentation of images based on fractional calculus and natural selection P Ghamisi, MS Couceiro, JNA Benediktsson, NMF Ferreira Expert Systems with Applications 39 (16), 12407-12417, 2012	272	2012
A survey on spectral–spatial classification techniques based on attribute profiles P Ghamisi, M Dalla Mura, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2335-2353, 2015	249	2015
Advanced Supervised Spectral Classifiers for Hyperspectral Images: A Review P Ghamisi, J Plaza, Y Chen, J Li, A Plaza IEEE Geoscience and Remote Sensing Magazine (GRSM), 2017	248*	2017
Multilevel image segmentation based on fractional-order Darwinian particle swarm optimization P Ghamisi, MS Couceiro, FML Martins, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing, 52 (5), 2382-2394, 2014	220	2014
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	187	2017
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	167	2018
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	149	2019
Spectral–spatial classification of hyperspectral images based on hidden Markov random fields P Ghamisi, JA Benediktsson, MO Ulfarsson IEEE Transactions on Geoscience and Remote Sensing, 52 (5), 2565-2574, 2014	144	2014
Unsupervised spectral–spatial feature learning via deep residual Conv–Deconv network for hyperspectral image classification L Mou, P Ghamisi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 56 (1), 391-406, 2017	121	2017
Automatic spectral–spatial classification framework based on attribute profiles and supervised feature extraction P Ghamisi, JA Benediktsson, JR Sveinsson IEEE Transactions on Geoscience and Remote Sensing, 52 (99), 5771-5782, 2014	113	2014
Spectral-spatial classification of hyperspectral remote sensing images JA Benediktsson, P Ghamisi Artech House, 2015	99	2015
Frontiers in Spectral-Spatial Classification of Hyperspectral Images P Ghamisi, E Maggiori, S Li, R Souza, Y Tarabalka, G Moser, AD Giorgi, ... IEEE Geoscience and Remote Sensing Magazine, 2018	96*	2018
Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles P Ghamisi, JA Benediktsson, G Cavallaro, A Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014	96	2014
Hyperspectral and LiDAR data fusion using extinction profiles and deep convolutional neural network P Ghamisi, B Höfle, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016	90	2016
Extinction Profiles for the Classification of Remote Sensing Data P Ghamisi, R Souza, JA Benediktsson, XX Zhu, L Rittner, R Lotufo IEEE Transactions on Geoscience and Remote Sensing, 2016	90	2016
A self-improving convolution neural network for the classification of hyperspectral data P Ghamisi, Y Chen, XX Zhu IEEE Geoscience and Remote Sensing Letters 13 (10), 1537-1541, 2016	88	2016
A Novel Feature Selection Approach Based on FODPSO and SVM P Ghamisi, MS Couceiro, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2935-2947, 2015	87	2015

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