Meng Lu
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Attention boosted bilinear pooling for remote sensing image retrieval
YZ Y. Wang, S. Ji, M. Lu
2020 41 (7), 2704-2724, 2019
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