Pedram Ghamisi

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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
Behnood RastiHelmholtz-Zentrum Dresden-Rossendorf, Institute Freiberg for Resource TechnologyVerified email at hzdr.de
Xiao Xiang ZhuProfessor for Data Science in Earth Observation, TUM & Department Head "EO Data Science", DLRVerified email at tum.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
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)Verified email at hnu.edu.cn
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
Amir MosaviiASKVerified email at ieee.org
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
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
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
Michael SchmittMunich University of Applied SciencesVerified email at hm.edu
Paul ScheundersProfessor Physics, University of AntwerpVerified email at uantwerpen.be
Peter M AtkinsonDistinguished Professor and Dean, Faculty of Science and Technology, Lancaster UniversityVerified email at lancaster.ac.uk

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	1216	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	484	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	362	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	307*	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	291	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	274	2015
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	250	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	249	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	237	2014
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	224	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	156	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	146	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	134*	2018
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	121	2019
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	120	2014
Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020	119	2020
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	112	2017
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	106	2016
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	105	2020
Spectral-spatial classification of hyperspectral remote sensing images JA Benediktsson, P Ghamisi Artech House, 2015	104	2015

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