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
Behnood RastiHelmholtz-Zentrum Dresden-RossendorfAdresse e-mail validée de hzdr.de
Richard GloaguenHead department Exploration Technology, Helmholtz-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
Naoto YokoyaThe University of TokyoAdresse e-mail validée de k.u-tokyo.ac.jp
Xiao Xiang ZhuTechnical University of MunichAdresse e-mail validée de tum.de
Leyuan FangProfessor in College of Electrical and Information Engineering, Hunan UniversityAdresse e-mail validée de hnu.edu.cn
Micael Santos CouceiroCIPER, ISR-UC, Ingeniarius Lda.Adresse e-mail validée de isr.uc.pt
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainAdresse e-mail validée de unex.es
Jocelyn ChanussotGrenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr
Puhong Duan (段普宏)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
Omid GhorbanzadehInstitute of Advanced Research in Artificial Intelligence, AustriaAdresse e-mail validée de iarai.ac.at
Paul ScheundersProfessor Physics, University of AntwerpAdresse e-mail validée de uantwerpen.be
Peter M AtkinsonDistinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster UniversityAdresse e-mail validée de lancaster.ac.uk
Saeid Homayouni, Ph.D., IEEE SMAssociate professor, INRS, Centre Eau Terre EnvironnmentAdresse e-mail validée de inrs.ca
Danfeng Hong (洪丹枫)Aerospace Information Research Institute, Chinese Academy of SciencesAdresse e-mail validée de aircas.ac.cn
Yonghao XuLinköping UniversityAdresse e-mail validée de liu.se
Roberto SouzaAssistant Professor, University of CalgaryAdresse e-mail validée de ucalgary.ca
Michael SchmittBundeswehr University MunichAdresse e-mail validée de unibw.de

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Pedram Ghamisi

HZDR & Lancaster University, Group Leader and Visiting 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	2394	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	1116	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	1082	2019
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	628	2017
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	591*	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	566	2018
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	493	2015
Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020	492	2020
Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review M Sheykhmousa, M Mahdianpari, H Ghanbari, F Mohammadimanesh, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020	452	2020
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	411	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	384	2019
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	367	2015
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	346	2019
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	338	2012
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	323	2020
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	297	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	283*	2018
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	262	2017
Noise reduction in hyperspectral imagery: Overview and application B Rasti, P Scheunders, P Ghamisi, G Licciardi, J Chanussot Remote Sensing 10 (3), 482, 2018	245	2018
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	239	2020

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