Pedram Ghamisi

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Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Behnood RastiHelmholtz-Zentrum Dresden-RossendorfAdresse e-mail validée de hzdr.de
Yushi Chen哈尔滨工业大学Adresse e-mail validée de hit.edu.cn
Richard GloaguenHead department Exploration Technology, Helmholtz-Zentrum Dresden-RossendorfAdresse e-mail validée de hzdr.de
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
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
Shutao Li (李树涛)College of Electrical and Information Engineering, Hunan University (湖南大学电气与信息工程学院)Adresse 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
Puhong Duan (段普宏)College of Electrical and Information Engineering, Hunan UniversityAdresse e-mail validée de hnu.edu.cn
Jocelyn ChanussotGrenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr
Xudong Kang (康旭东)Hunan UniversityAdresse e-mail validée de hnu.edu.cn
Javier Plaza MiguelIEEE Senior Member, Full Professor, University of ExtremaduraAdresse e-mail validée de unex.es
Paul ScheundersProfessor Physics, University of AntwerpAdresse e-mail validée de uantwerpen.be
Roberto SouzaAssistant Professor, University of CalgaryAdresse e-mail validée de ucalgary.ca
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Danfeng Hong (洪丹枫)Professor, Aerospace Information Research Institute, Chinese Academy of SciencesAdresse e-mail validée de aircas.ac.cn
Junshi XiaRIKEN AIPAdresse e-mail validée de riken.jp
Peter M AtkinsonDistinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster UniversityAdresse e-mail validée de lancaster.ac.uk

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Pedram Ghamisi

HZDR & IARAI, Group Leader and Research Professor

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	1728	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	762	2017
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	555	2019
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	440*	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	422	2015
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	397	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	376	2018
Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020	323	2020
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	315	2015
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	312	2012
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	270	2014
Feature extraction for hyperspectral imagery: The evolution from shallow to deep: Overview and toolbox B Rasti, D Hong, R Hang, P Ghamisi, X Kang, J Chanussot, ... IEEE Geoscience and Remote Sensing Magazine 8 (4), 60-88, 2020	254	2020
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	237	2019
COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach G Pinter, I Felde, A Mosavi, P Ghamisi, R Gloaguen Mathematics 8 (6), 890, 2020	209	2020
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	209*	2018
Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art P Ghamisi, B Rasti, N Yokoya, Q Wang, B Hofle, L Bruzzone, F Bovolo, ... IEEE Geoscience and Remote Sensing Magazine 7 (1), 6-39, 2019	204	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	203	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	174	2014
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	166	2017
Invariant attribute profiles: A spatial-frequency joint feature extractor for hyperspectral image classification D Hong, X Wu, P Ghamisi, J Chanussot, N Yokoya, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3791-3808, 2020	157	2020

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