| Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion N Yokoya, T Yairi, A Iwasaki IEEE Transactions on Geoscience and Remote Sensing 50 (2), 528-537, 2011 | 806 | 2011 |
| Hyperspectral pansharpening: A review L Loncan, LB De Almeida, JM Bioucas-Dias, X Briottet, J Chanussot, ... IEEE Geoscience and remote sensing magazine 3 (3), 27-46, 2015 | 642 | 2015 |
| More diverse means better: Multimodal deep learning meets remote-sensing imagery classification D Hong, L Gao, N Yokoya, J Yao, J Chanussot, Q Du, B Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4340-4354, 2020 | 575 | 2020 |
| An augmented linear mixing model to address spectral variability for hyperspectral unmixing D Hong, N Yokoya, J Chanussot, XX Zhu IEEE Transactions on Image Processing 28 (4), 1923-1938, 2018 | 514 | 2018 |
| 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 | 504 | 2017 |
| Hyperspectral and multispectral data fusion: A comparative review of the recent literature N Yokoya, C Grohnfeldt, J Chanussot IEEE Geoscience and Remote Sensing Magazine 5 (2), 29-56, 2017 | 468 | 2017 |
| 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 | 267 | 2019 |
| 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 | 202 | 2020 |
| Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification D Hong, N Yokoya, N Ge, J Chanussot, XX Zhu ISPRS journal of photogrammetry and remote sensing 147, 193-205, 2019 | 199 | 2019 |
| Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest Y Xu, B Du, L Zhang, D Cerra, M Pato, E Carmona, S Prasad, N Yokoya, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 170 | 2019 |
| CoSpace: Common subspace learning from hyperspectral-multispectral correspondences D Hong, N Yokoya, J Chanussot, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4349-4359, 2019 | 166 | 2019 |
| Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges TD Pham, N Yokoya, DT Bui, K Yoshino, DA Friess Remote Sensing 11 (3), 230, 2019 | 163 | 2019 |
| Hyperspectral super-resolution of locally low rank images from complementary multisource data MA Veganzones, M Simoes, G Licciardi, N Yokoya, JM Bioucas-Dias, ... IEEE Transactions on Image Processing 25 (1), 274-288, 2015 | 158 | 2015 |
| X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data D Hong, N Yokoya, GS Xia, J Chanussot, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 167, 12-23, 2020 | 136 | 2020 |
| Random forest ensembles and extended multiextinction profiles for hyperspectral image classification J Xia, P Ghamisi, N Yokoya, A Iwasaki IEEE Transactions on Geoscience and Remote Sensing 56 (1), 202-216, 2017 | 130 | 2017 |
| Interpretable hyperspectral artificial intelligence: When nonconvex modeling meets hyperspectral remote sensing D Hong, W He, N Yokoya, J Yao, L Gao, L Zhang, J Chanussot, X Zhu IEEE Geoscience and Remote Sensing Magazine 9 (2), 52-87, 2021 | 123 | 2021 |
| Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction D Hong, N Yokoya, J Chanussot, J Xu, XX Zhu ISPRS journal of photogrammetry and remote sensing 158, 35-49, 2019 | 116 | 2019 |
| Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS data fusion contest N Yokoya, P Ghamisi, J Xia, S Sukhanov, R Heremans, I Tankoyeu, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 113 | 2018 |
| Potential of resolution-enhanced hyperspectral data for mineral mapping using simulated EnMAP and Sentinel-2 images N Yokoya, JCW Chan, K Segl Remote Sensing 8 (3), 172, 2016 | 112 | 2016 |
| Hyperspectral image restoration using weighted group sparsity-regularized low-rank tensor decomposition Y Chen, W He, N Yokoya, TZ Huang IEEE transactions on cybernetics 50 (8), 3556-3570, 2019 | 108 | 2019 |
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
