| Multiple classifier system for remote sensing image classification: A review P Du, J Xia, W Zhang, K Tan, Y Liu, S Liu Sensors 12 (4), 4764-4792, 2012 | 321 | 2012 |
| Integrating multilayer features of convolutional neural networks for remote sensing scene classification E Li, J Xia, P Du, C Lin, A Samat IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5653-5665, 2017 | 299 | 2017 |
| Hyperspectral remote sensing image classification based on rotation forest J Xia, P Du, X He, J Chanussot IEEE Geoscience and Remote Sensing Letters 11 (1), 239-243, 2013 | 237 | 2013 |
| Information fusion techniques for change detection from multi-temporal remote sensing images P Du, S Liu, J Xia, Y Zhao Information Fusion 14 (1), 19-27, 2013 | 214 | 2013 |
| Fusion of difference images for change detection over urban areas P Du, S Liu, P Gamba, K Tan, J Xia IEEE journal of selected topics in applied earth observations and remote …, 2012 | 177 | 2012 |
| Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression J Luo, P Du, A Samat, J Xia, M Che, Z Xue Scientific reports 7 (1), 40607, 2017 | 167 | 2017 |
| 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 | 157 | 2017 |
| A new pansharpening method based on spatial and spectral sparsity priors X He, L Condat, JM Bioucas-Dias, J Chanussot, J Xia IEEE Transactions on Image Processing 23 (9), 4160-4174, 2014 | 157 | 2014 |
| Spectral–spatial classification for hyperspectral data using rotation forests with local feature extraction and Markov random fields J Xia, J Chanussot, P Du, X He IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2532-2546, 2014 | 148 | 2014 |
| Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles J Xia, M Dalla Mura, J Chanussot, P Du, X He IEEE Transactions on Geoscience and Remote Sensing 53 (9), 4768-4786, 2015 | 147 | 2015 |
| A review of remote sensing approaches for monitoring blue carbon ecosystems: Mangroves, seagrasses and salt marshes during 2010–2018 TD Pham, J Xia, NT Ha, DT Bui, NN Le, W Takeuchi Sensors 19 (8), 1933, 2019 | 143 | 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 | 135 | 2018 |
| Advances of four machine learning methods for spatial data handling: A review P Du, X Bai, K Tan, Z Xue, A Samat, J Xia, E Li, H Su, W Liu Journal of Geovisualization and Spatial Analysis 4, 1-25, 2020 | 123 | 2020 |
| Hyperspectral image classification with rotation random forest via KPCA J Xia, N Falco, JA Benediktsson, P Du, J Chanussot IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 122 | 2017 |
| Object-based change detection in urban areas from high spatial resolution images based on multiple features and ensemble learning X Wang, S Liu, P Du, H Liang, J Xia, Y Li Remote Sensing 10 (2), 276, 2018 | 114 | 2018 |
| Enabling the big earth observation data via cloud computing and DGGS: Opportunities and challenges X Yao, G Li, J Xia, J Ben, Q Cao, L Zhao, Y Ma, L Zhang, D Zhu Remote Sensing 12 (1), 62, 2019 | 99 | 2019 |
| Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples J Xia, J Chanussot, P Du, X He IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1519 - 1531, 2016 | 99 | 2016 |
| Performance evaluation of downscaling Sentinel-2 imagery for land use and land cover classification by spectral-spatial features H Zheng, P Du, J Chen, J Xia, E Li, Z Xu, X Li, N Yokoya Remote Sensing 9 (12), 1274, 2017 | 98 | 2017 |
| 高光谱遥感影像分类研究进展 杜培军， 夏俊士， 薛朝辉， 谭琨， 苏红军， 鲍蕊 遥感学报 20 (2), 236-256, 2021 | 97 | 2021 |
| Comparison of machine learning methods for estimating mangrove above-ground biomass using multiple source remote sensing data in the red river delta biosphere reserve, Vietnam TD Pham, N Yokoya, J Xia, NT Ha, NN Le, TTT Nguyen, TH Dao, TTP Vu, ... Remote Sensing 12 (8), 1334, 2020 | 88 | 2020 |
Jocelyn ChanussotGrenoble Institute of TechnologyZweryfikowany adres z gipsa-lab.grenoble-inp.fr
