Lichao Mou
Lichao Mou
German Aerospace Center (DLR), Technical University of Munich (TUM)
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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
5752017
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
2712017
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
1422015
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
1252016
Semi-supervised multitask learning for scene recognition
X Lu, X Li, L Mou
IEEE Transactions on Cybernetics 45 (9), 1967-1976, 2015
1232015
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
962018
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
732019
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
362018
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
362017
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
332018
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
312018
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
302017
Spatiotemporal scene interpretation of space videos via deep neural network and tracklet analysis
L Mou, XX Zhu
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
302016
Scene parsing from an MAP perspective
X Li, L Mou, X Lu
IEEE Transactions on Cybernetics 45 (9), 1876-1886, 2015
252015
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
222019
A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes
L Mou, M Schmitt, Y Wang, XX Zhu
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
222017
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
202018
Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets
C Qiu, M Schmitt, L Mou, P Ghamisi, XX Zhu
Remote Sensing 10 (10), 1572, 2018
192018
Long-term annual mapping of four cities on different continents by applying a deep information learning method to landsat data
H Lyu, H Lu, L Mou, W Li, J Wright, X Li, X Li, XX Zhu, J Wang, L Yu, ...
Remote Sensing 10 (3), 471, 2018
192018
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
182019
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