Lichao Mou
Lichao Mou
German Aerospace Center (DLR), Technical University of Munich (TUM)
Verified email at dlr.de - Homepage
Title
Cited by
Cited by
Year
Deep learning in remote sensing: A comprehensive review and list of resources
XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer
IEEE Geoscience and Remote Sensing Magazine 5 (4), 8-36, 2017
13432017
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
5892017
Learning a transferable change rule from a recurrent neural network for land cover change detection
H Lyu, H Lu, L Mou
Remote Sensing 8 (6), 506, 2016
2112016
Learning spectral-spatial-temporal features via a recurrent convolutional neural network for change detection in multispectral imagery
L Mou, L Bruzzone, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2019
2062019
Scene recognition by manifold regularized deep learning architecture
Y Yuan, L Mou, X Lu
IEEE Transactions on Neural Networks and Learning Systems 26 (10), 2222-2233, 2015
1852015
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, 2018
1732018
Semi-supervised multitask learning for scene recognition
X Lu, X Li, L Mou
IEEE Transactions on Cybernetics 45 (9), 1967-1976, 2015
1582015
Long-term and high-concentration heavy-metal contamination strongly influences the microbiome and functional genes in Yellow River sediments
Y Chen, Y Jiang, H Huang, L Mou, J Ru, J Zhao, S Xiao
Science of the Total Environment 637, 1400-1412, 2018
1072018
Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN
LH Hughes, M Schmitt, L Mou, Y Wang, XX Zhu
IEEE Geoscience and Remote Sensing Letters 15 (5), 784-788, 2018
942018
HSF-Net: Multiscale deep feature embedding for ship detection in optical remote sensing imagery
Q Li, L Mou, Q Liu, Y Wang, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 56 (12), 7147-7161, 2018
922018
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network
L Mou, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 56 (11), 6699-6711, 2018
892018
A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
L Mou, Y Hua, XX Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2019
822019
Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification
Y Hua, L Mou, XX Zhu
ISPRS journal of photogrammetry and remote sensing 149, 188-199, 2019
752019
RiFCN: Recurrent network in fully convolutional network for semantic segmentation of high resolution remote sensing images
L Mou, XX Zhu
arXiv preprint arXiv:1805.02091, 2018
662018
Learning to pay attention on spectral domain: A spectral attention module-based convolutional network for hyperspectral image classification
L Mou, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (1), 110-122, 2019
652019
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network
C Qiu, L Mou, M Schmitt, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 154, 151-162, 2019
632019
R -Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos
Q Li, L Mou, Q Xu, Y Zhang, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2019
612019
Multitemporal very high resolution from space: Outcome of the 2016 IEEE GRSS data fusion contest
L Mou, X Zhu, M Vakalopoulou, K Karantzalos, N Paragios, B Le Saux, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
532017
FusioNet: A two-stream convolutional neural network for urban scene classification using PolSAR and hyperspectral data
J Hu, L Mou, A Schmitt, XX Zhu
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
522017
IM2HEIGHT: Height estimation from single monocular imagery via fully residual convolutional-deconvolutional network
L Mou, XX Zhu
arXiv preprint arXiv:1802.10249, 2018
512018
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