Behnood Rasti

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Pedram GhamisiHZDR & Lancaster University, Group Leader and ProfessorPreverjeni e-poštni naslov na hzdr.de
Richard GloaguenHead department Exploration Technology, Helmholtz-Zentrum Dresden-RossendorfPreverjeni e-poštni naslov na hzdr.de
Paul ScheundersProfessor Physics, University of AntwerpPreverjeni e-poštni naslov na uantwerpen.be
Jocelyn ChanussotINRIA, on leave from Grenoble INPPreverjeni e-poštni naslov na grenoble-inp.fr
Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandPreverjeni e-poštni naslov na hi.is
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandPreverjeni e-poštni naslov na hi.is
Bikram KoiralaUniversity of AntwerpPreverjeni e-poštni naslov na uantwerpen.be
Naoto YokoyaThe University of TokyoPreverjeni e-poštni naslov na k.u-tokyo.ac.jp
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainPreverjeni e-poštni naslov na unex.es
Sicong LiuTongji UniversityPreverjeni e-poštni naslov na tongji.edu.cn
Javier Plaza MiguelIEEE Senior Member, Full Professor, University of ExtremaduraPreverjeni e-poštni naslov na unex.es
Sandra LorenzGroup Leader Digital Processing, Helmholtz Institute Freiberg for Resource TechnologyPreverjeni e-poštni naslov na hzdr.de
Xudong Kang (康旭东)Hunan UniversityPreverjeni e-poštni naslov na hnu.edu.cn
Renlong Hang （杭仁龙）Nanjing University of Information Science and TechnologyPreverjeni e-poštni naslov na nuist.edu.cn
Lorenzo BruzzoneProfessor of Telecommunications, University of TrentoPreverjeni e-poštni naslov na ing.unitn.it
jun liChina University of Geosciences (Wuhan)Preverjeni e-poštni naslov na mail.sysu.edu.cn
Puhong Duan (段普宏)School of Robotics, Hunan UniversityPreverjeni e-poštni naslov na hnu.edu.cn
Robert JackischTU BerlinPreverjeni e-poštni naslov na tu-berlin.de
Julien MairalInria - Univ. Grenoble AlpesPreverjeni e-poštni naslov na inria.fr
Begüm DemirProfessor, BIFOLD and Faculty of EECS, Technische Universität BerlinPreverjeni e-poštni naslov na tu-berlin.de

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Behnood Rasti

BIFOLD and Technische Universität Berlin

Preverjeni e-poštni naslov na tu-berlin.de - Domača stran

Machine Learning Image Processing Earth Observation Remote Sensing Artificial Intelligence


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	813	2017
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	527	2020
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	509	2019
Noise reduction in hyperspectral imagery: Overview and application B Rasti, P Scheunders, P Ghamisi, G Licciardi, J Chanussot Remote Sensing 10 (3), 482, 2018	320	2018
Multimodal fusion transformer for remote sensing image classification SK Roy, A Deria, D Hong, B Rasti, A Plaza, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 61, 1-20, 2023	268	2023
Hyperspectral and LiDAR fusion using extinction profiles and total variation component analysis B Rasti, P Ghamisi, R Gloaguen IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3997-4007, 2017	185	2017
Fusion of dual spatial information for hyperspectral image classification P Duan, P Ghamisi, X Kang, B Rasti, S Li, R Gloaguen IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7726-7738, 2020	129	2020
Fusion of hyperspectral and LiDAR data using sparse and low-rank component analysis B Rasti, P Ghamisi, J Plaza, A Plaza IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6354-6365, 2017	128	2017
Image restoration for remote sensing: Overview and toolbox B Rasti, Y Chang, E Dalsasso, L Denis, P Ghamisi IEEE Geoscience and Remote Sensing Magazine, 2021	123	2021
Hyperspectral feature extraction using total variation component analysis B Rasti, MO Ulfarsson, JR Sveinsson IEEE Transactions on Geoscience and Remote Sensing 54 (12), 6976-6985, 2016	119	2016
UnDIP: Hyperspectral unmixing using deep image prior B Rasti, B Koirala, P Scheunders, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021	118	2021
Hyperspectral image denoising using first order spectral roughness penalty in wavelet domain B Rasti, JR Sveinsson, MO Ulfarsson, JA Benediktsson IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013	105	2013
Hyperspectral unmixing using transformer network P Ghosh, SK Roy, B Koirala, B Rasti, P Scheunders IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022	103	2022
Hyperspectral image denoising using 3D wavelets B Rasti, JR Sveinsson, MO Ulfarsson, JA Benediktsson 2012 IEEE International Geoscience and Remote Sensing Symposium, 1349-1352, 2012	100	2012
Wavelet-based sparse reduced-rank regression for hyperspectral image restoration B Rasti, JR Sveinsson, MO Ulfarsson IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6688-6698, 2014	82	2014
Misicnet: Minimum simplex convolutional network for deep hyperspectral unmixing B Rasti, B Koirala, P Scheunders, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022	75	2022
Automatic hyperspectral image restoration using sparse and low-rank modeling B Rasti, MO Ulfarsson, P Ghamisi IEEE Geoscience and Remote Sensing Letters 14 (12), 2335-2339, 2017	73	2017
Remote sensing image classification using subspace sensor fusion B Rasti, P Ghamisi Information Fusion 64, 121-130, 2020	65	2020
SUnCNN: Sparse unmixing using unsupervised convolutional neural network B Rasti, B Koirala IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021	52	2021
Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods S Lorenz, P Ghamisi, M Kirsch, R Jackisch, B Rasti, R Gloaguen Remote Sensing of Environment 252, 112129, 2021	47	2021

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