| 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 | 2389 | 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 | 1116 | 2017 |
| 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 | 1079 | 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 | 628 | 2017 |
| 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 | 590* | 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 | 565 | 2018 |
| 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 | 493 | 2015 |
| Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020 | 490 | 2020 |
| 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 | 446 | 2020 |
| 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 | 411 | 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 | 382 | 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 | 367 | 2015 |
| 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 | 343 | 2019 |
| 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 | 338 | 2012 |
| 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 | 323 | 2020 |
| 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 | 297 | 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 | 282* | 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 | 262 | 2017 |
| Noise reduction in hyperspectral imagery: Overview and application B Rasti, P Scheunders, P Ghamisi, G Licciardi, J Chanussot Remote Sensing 10 (3), 482, 2018 | 245 | 2018 |
| Invariant attribute profiles: A spatial-frequency joint feature extractor for hyperspectral image classification D Hong, X Wu, P Ghamisi, J Chanussot, N Yokoya, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3791-3808, 2020 | 240 | 2020 |
Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandVerified email at hi.is
