Pedram Ghamisi

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	All	Since 2016
Citations	7265	6891
h-index	42	41
i10-index	86	83

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Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandVerified email at hi.is
Yushi Chen哈尔滨工业大学Verified email at hit.edu.cn
Xiao Xiang ZhuProfessor for Data Science in Earth Observation, TUM & Department Head "EO Data Science", DLRVerified email at tum.de
Behnood RastiHelmholtz-Zentrum Dresden-Rossendorf, Institute Freiberg for Resource TechnologyVerified email at hzdr.de
Micael Santos CouceiroCIPER, ISR-UC, Ingeniarius Lda.Verified email at isr.uc.pt
Richard GloaguenHelmholtz-Institute Freiberg for Resource Technology, Division "Exploration Technology" (head)Verified email at hzdr.de
Naoto YokoyaThe University of TokyoVerified email at k.u-tokyo.ac.jp
Leyuan FangProfessor in College of Electrical and Information Engineering, Hunan UniversityVerified email at hnu.edu.cn
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainVerified email at unex.es
Xudong Kang (康旭东)Hunan UniversityVerified email at hnu.edu.cn
Puhong Duan (段普宏)PhD. Student in College of Electrical and Information Engineering, Hunan UniversityVerified email at hnu.edu.cn
Javier Plaza MiguelIEEE Senior Member, Full Professor, University of ExtremaduraVerified email at unex.es
Roberto SouzaAssistant Professor, University of CalgaryVerified email at ucalgary.ca
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandVerified email at hi.is
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
Gabriele MoserUniversity of GenoaVerified email at unige.it
Peter M AtkinsonDistinguished Professor and Dean, Faculty of Science and Technology, Lancaster UniversityVerified email at lancaster.ac.uk
Danfeng Hong (洪丹枫)German Aerospace Center (DLR); Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-laboratoryVerified email at dlr.de
Michael SchmittMunich University of Applied SciencesVerified email at hm.edu
Paul ScheundersProfessor Physics, University of AntwerpVerified email at uantwerpen.be

Pedram Ghamisi

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

Verified email at hzdr.de - Homepage


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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	1131	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	449	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	354	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	287*	2017
An efficient method for segmentation of images based on fractional calculus and natural selection P Ghamisi, MS Couceiro, JA Benediktsson, NMF Ferreira Expert Systems with Applications 39 (16), 12407-12417, 2012	284	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	262	2015
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	231	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	221	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	208	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	199	2019
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	147	2017
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	145	2014
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	120*	2018
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	115	2014
Cascaded recurrent neural networks for hyperspectral image classification R Hang, Q Liu, D Hong, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5384-5394, 2019	109	2019
Spectral-spatial classification of hyperspectral remote sensing images JA Benediktsson, P Ghamisi Artech House, 2015	101	2015
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	100	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	99	2016
Hyperspectral images classification with Gabor filtering and convolutional neural network Y Chen, L Zhu, P Ghamisi, X Jia, G Li, L Tang IEEE Geoscience and Remote Sensing Letters 14 (12), 2355-2359, 2017	98	2017
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	95	2016

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