| Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set S Ji, S Wei, M Lu IEEE Transactions on geoscience and remote sensing 57 (1), 574-586, 2018 | 1307 | 2018 |
| Toward automatic building footprint delineation from aerial images using CNN and regularization S Wei, S Ji, M Lu IEEE Transactions on Geoscience and Remote Sensing 58 (3), 2178-2189, 2019 | 197 | 2019 |
| Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples YZ Shunping Ji, Yanyun Shen, Meng Lu Remote Sensing 11 (11), 1343, 2019 | 161 | 2019 |
| A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery S Ji, S Wei, M Lu International journal of remote sensing 40 (9), 3308-3322, 2019 | 155 | 2019 |
| Detecting large-scale urban land cover changes from very high resolution remote sensing images using CNN-based classification C Zhang, S Wei, S Ji, M Lu ISPRS International Journal of Geo-Information 8 (4), 189, 2019 | 145 | 2019 |
| Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks YZ Shunping Ji, Peiyu Dai, Meng Lu IEEE Transactions on Geoscience and Remote Sensing, PP(99)1-17, 2020 | 91* | 2020 |
| Panoramic SLAM from a multiple fisheye camera rig S Ji, Z Qin, J Shan, M Lu ISPRS Journal of Photogrammetry and Remote Sensing 159, 169-183, 2020 | 75 | 2020 |
| Spatio-temporal change detection from multidimensional arrays: Detecting deforestation from MODIS time series M Lu, E Pebesma, A Sanchez, J Verbesselt ISPRS Journal of Photogrammetry and Remote Sensing 117, 227-236, 2016 | 73 | 2016 |
| Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method Y Loozen, KT Rebel, SM de Jong, M Lu, SV Ollinger, MJ Wassen, ... Remote Sensing of Environment 247, 111933, 2020 | 67 | 2020 |
| Neighbourhood fast food exposure and consumption: the mediating role of neighbourhood social norms S Van Rongen, MP Poelman, L Thornton, G Abbott, M Lu, CBM Kamphuis, ... International journal of behavioral nutrition and physical activity 17, 1-9, 2020 | 60 | 2020 |
| Rich CNN features for water-body segmentation from very high resolution aerial and satellite imagery Z Zhang, M Lu, S Ji, H Yu, C Nie Remote Sensing 13 (10), 1912, 2021 | 52 | 2021 |
| Learning discriminative spatiotemporal features for precise crop classification from multi-temporal satellite images S Ji, Z Zhang, C Zhang, S Wei, M Lu, Y Duan International Journal of Remote Sensing 41 (8), 3162-3174, 2020 | 49 | 2020 |
| Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms Y Shen, J Ruijsch, M Lu, EH Sutanudjaja, D Karssenberg Computers & Geosciences 159, 105019, 2022 | 44 | 2022 |
| Evaluating generative adversarial networks based image-level domain transfer for multi-source remote sensing image segmentation and object detection X Li, M Luo, S Ji, L Zhang, M Lu International Journal of Remote Sensing 41 (19), 7343-7367, 2020 | 44 | 2020 |
| Matching RGB and infrared remote sensing images with densely-connected convolutional neural networks R Zhu, D Yu, S Ji, M Lu Remote Sensing 11 (23), 2836, 2019 | 40 | 2019 |
| Evaluation of different methods and data sources to optimise modelling of NO2 at a global scale M Lu, O Schmitz, K de Hoogh, Q Kai, D Karssenberg Environment international 142, 105856, 2020 | 30 | 2020 |
| Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis J Wang, O Schmitz, M Lu, D Karssenberg ISPRS journal of photogrammetry and remote sensing 161, 76-89, 2020 | 30 | 2020 |
| Land use regression models revealing spatiotemporal co-variation in NO2, NO, and O3 in the Netherlands M Lu, I Soenario, M Helbich, O Schmitz, G Hoek, M van der Molen, ... Atmospheric Environment, 117238, 2019 | 30 | 2019 |
| Attention boosted bilinear pooling for remote sensing image retrieval YZ Y. Wang, S. Ji, M. Lu 2020 41 (7), 2704-2724, 2019 | 29* | 2019 |
| Characterizing the pixel footprint of satellite albedo products derived from MODIS reflectance in the Heihe River Basin, China J Peng, Q Liu, L Wang, Q Liu, W Fan, M Lu, J Wen Remote Sensing 7 (6), 6886-6907, 2015 | 28 | 2015 |