Lichao Mou - Concepedia

Author

Lichao Mou

Technical University of Munich ORCID

Also Known As

L C Mou, L. Mou, Li-Chao Mou, Lichao Mou, Lunsheng Mou, Mou Lichao, Mou, Lichao, Saha, S., Tuia, Devis

216

Publications

9.3K

Citations

H-Index

130

Concepts

All Affiliations

Technical University of Munich Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)Tsinghua University Chinese Academy of Sciences

About

Lichao Mou is an author at Technical University of Munich specializing in engineering, machine learning, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	39	70	6.8K
2	Health Sciences	4	4	115
3	Education	1	1	12
4	Language Studies	1	1	20
5	Medicine	1	1	11

Lichao Mou

Publications

8.6K

Citations

H-Index

Page 1

	Year	Citations
Deep Recurrent Neural Networks for Hyperspectral Image Classification Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu IEEE Transactions on Geoscience and Remote Sensing Image ClassificationConvolutional Neural NetworkImage AnalysisMachine LearningData Science	2017	1.3K
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu IEEE Transactions on Geoscience and Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningShift DetectionMultispectral Imaging	2018	598
Long-term and high-concentration heavy-metal contamination strongly influences the microbiome and functional genes in Yellow River sediments Yong Chen, Yiming Jiang, Haiying Huang, The Science of The Total Environment	2018	380
Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection Haobo Lyu, Hui Lü, Lichao Mou Remote Sensing Incremental LearningEngineeringMachine LearningShift DetectionLand Use	2016	327
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, IEEE Geoscience and Remote Sensing Magazine RadarData AugmentationConvolutional Neural NetworkEngineeringMachine Learning	2021	314
Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu IEEE Transactions on Geoscience and Remote Sensing	2017	286
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification Lichao Mou, Xiaoqiang Lu, Xuelong Li, IEEE Transactions on Geoscience and Remote Sensing Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningNonlocal Graph	2020	278
Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN Lloyd Haydn Hughes, Michael Schmitt, Lichao Mou, IEEE Geoscience and Remote Sensing Letters	2018	242
Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification Lichao Mou, Xiao Xiang Zhu IEEE Transactions on Geoscience and Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningMultispectral ImagingSpectral Attention Module	2019	225
Scene Recognition by Manifold Regularized Deep Learning Architecture Yuan Yuan, Lichao Mou, Xiaoqiang Lu IEEE Transactions on Neural Networks and Learning Systems Geometric LearningConvolutional Neural NetworkScene AnalysisEngineeringMachine Learning	2015	215

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