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, Helmholtz 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 MosaviScientist at Obuda UniversityVerified email at uni-obuda.hu
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
Danfeng Hong (洪丹枫)German Aerospace Center (DLR)Verified email at dlr.de
Peter M AtkinsonDistinguished Professor and Dean, Faculty of Science and Technology, Lancaster UniversityVerified email at lancaster.ac.uk
Michael SchmittMunich University of Applied SciencesVerified email at hm.edu

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	1289	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	531	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	375	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	328*	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	296	2012
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	293	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	276	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	271	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	246	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	234	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	165	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	154	2014
Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020	150	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	146*	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	141	2019
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	133	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	126	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	120	2014
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	116	2019
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	112	2016

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