Pedram Ghamisi

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Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandVerifierad e-postadress på hi.is
Behnood RastiBIFOLD and Faculty of EECS (RSiM), Technische Universität BerlinVerifierad e-postadress på tu-berlin.de
Richard GloaguenHead department Exploration Technology, Helmholtz-Zentrum Dresden-RossendorfVerifierad e-postadress på hzdr.de
Yushi Chen哈尔滨工业大学Verifierad e-postadress på hit.edu.cn
Naoto YokoyaThe University of TokyoVerifierad e-postadress på k.u-tokyo.ac.jp
Leyuan FangProfessor in College of Electrical and Information Engineering, Hunan UniversityVerifierad e-postadress på hnu.edu.cn
Xiao Xiang ZhuTechnical University of MunichVerifierad e-postadress på tum.de
Micael Santos CouceiroCIPER, ISR-UC, Ingeniarius Lda.Verifierad e-postadress på isr.uc.pt
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainVerifierad e-postadress på unex.es
Jocelyn ChanussotINRIA, on leave from Grenoble INPVerifierad e-postadress på grenoble-inp.fr
Omid GhorbanzadehUniversity of Natural Resources and Life Sciences (BOKU)Verifierad e-postadress på boku.ac.at
Xudong Kang (康旭东)Hunan UniversityVerifierad e-postadress på hnu.edu.cn
Danfeng Hong (洪丹枫)Aerospace Information Research Institute, Chinese Academy of SciencesVerifierad e-postadress på aircas.ac.cn
Saeid Homayouni, Ph.D., IEEE SMProfessor, INRS, Centre Eau Terre EnvironnmentVerifierad e-postadress på inrs.ca
Peter M AtkinsonDistinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster UniversityVerifierad e-postadress på lancaster.ac.uk
Paul ScheundersProfessor Physics, University of AntwerpVerifierad e-postadress på uantwerpen.be
Yonghao XuLinköping UniversityVerifierad e-postadress på liu.se
Michael SchmittBundeswehr University MunichVerifierad e-postadress på unibw.de
Roberto SouzaAssistant Professor, University of CalgaryVerifierad e-postadress på ucalgary.ca
Bernhard HöfleFull Professor, Heidelberg University, 3DGeo Research GroupVerifierad e-postadress på uni-heidelberg.de

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Pedram Ghamisi

HZDR & Lancaster University, Group Leader and Professor

Verifierad e-postadress på hzdr.de - Startsida

Earth Observation Deep Learning AI4EO Responsible AI Remote Sensing


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	2839	2016
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	1552	2019
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	1374	2017
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	809	2020
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	766	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	695	2018
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	690*	2017
Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020	561	2020
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	526	2015
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	504	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	494	2019
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	465	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	388	2015
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	369	2020
SpectralGPT: Spectral remote sensing foundation model D Hong, B Zhang, X Li, Y Li, C Li, J Yao, N Yokoya, H Li, P Ghamisi, X Jia, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024	352	2024
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	347	2012
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	338*	2018
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	314	2014
Noise reduction in hyperspectral imagery: Overview and application B Rasti, P Scheunders, P Ghamisi, G Licciardi, J Chanussot Remote Sensing 10 (3), 482, 2018	307	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	306	2017

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