Pedram Ghamisi - Citations Google Scholar

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Coauteurs

Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Micael Santos CouceiroCIPER, ISR-UC, Ingeniarius Lda.Adresse e-mail validée de isr.uc.pt
Xiao Xiang Zhu (朱晓香)Professor for Signal Processing in Earth Observation, TUM, Department Head "EO Data Science", DLRAdresse e-mail validée de dlr.de
Yushi Chen哈尔滨工业大学Adresse e-mail validée de hit.edu.cn
Behnood RastiHelmholtz-Zentrum Dresden-Rossendorf, Institute Freiberg for Resource TechnologyAdresse e-mail validée de hzdr.de
Naoto YokoyaGeoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP)Adresse e-mail validée de postman.riken.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
Richard GloaguenHelmholtz-Institute Freiberg for Resource Technology, Division "Exploration Technology" (head)Adresse e-mail validée de hzdr.de
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Javier Plaza MiguelIEEE Senior Member, Associate Professor, University of ExtremaduraAdresse e-mail validée de unex.es
Bernhard HöfleHeidelberg University, 3D Geospatial Data ProcessingAdresse e-mail validée de uni-heidelberg.de
Danfeng HongGerman Aerospace Center (DLR), Technische Universität München (TUM)Adresse e-mail validée de dlr.de
Michael SchmittTechnical University of MunichAdresse e-mail validée de tum.de
Jocelyn ChanussotGrenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr
Mathieu FauvelCESBIO, University of Toulouse, INRA, INPT, INPT-EI PURPANAdresse e-mail validée de inra.fr
Stuart PhinnProfessor of Geography, School of Earth and Environmental Sciences, University of QueenslandAdresse e-mail validée de uq.edu.au
Yanfeng GuProfessor of Electronics Engineering, Harbin Institute of TechnologyAdresse e-mail validée de hit.edu.cn
Mauro DALLA MURAGIPSA-lab, Grenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr

Pedram Ghamisi

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

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	748	2016
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	276	2015
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	271	2017
An efficient method for segmentation of images based on fractional calculus and natural selection P Ghamisi, MS Couceiro, JNA Benediktsson, NMF Ferreira Expert Systems with Applications 39 (16), 12407-12417, 2012	249	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	213	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	188*	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	187	2014
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	130	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	124	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	103	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	96	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	96	2017
Spectral-spatial classification of hyperspectral remote sensing images JA Benediktsson, P Ghamisi Artech House, 2015	84	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	83	2014
Extinction Profiles for the Classification of Remote Sensing Data P Ghamisi, R Souza, JA Benediktsson, XX Zhu, L Rittner, R Lotufo IEEE Transactions on Geoscience and Remote Sensing, 2016	79	2016
A Novel Feature Selection Approach Based on FODPSO and SVM P Ghamisi, MS Couceiro, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2935-2947, 2015	76	2015
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	75	2016
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	75	2016
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	57*	2018
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	54	2017

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