Lichao Mou

According to our database1, Lichao Mou authored at least 43 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2020

ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos.
CoRR, 2020

2019
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2019

R3-Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and Videos.
IEEE Trans. Geoscience and Remote Sensing, 2019

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification.
CoRR, 2019

Relation Network for Multi-label Aerial Image Classification.
CoRR, 2019

Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Network.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Label Relation Inference for Multi-Label Aerial Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Skin Lesion Segmentation Based on Improved U-net.
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018
Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network.
IEEE Trans. Geoscience and Remote Sensing, 2018

Corrections to "Deep Recurrent Neural Networks for Hyperspectral Image Classification".
IEEE Trans. Geoscience and Remote Sensing, 2018

Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2018

HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2018

Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets.
Remote Sensing, 2018

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data.
Remote Sensing, 2018

Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN.
IEEE Geosci. Remote Sensing Lett., 2018

R3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos.
CoRR, 2018

Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification.
CoRR, 2018

Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network.
CoRR, 2018

RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images.
CoRR, 2018

IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network.
CoRR, 2018

Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Recurrent Convolutional Neural Network for Land Cover Change Detection in Multispectral Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Classification of Settlement Types from Tweets Using LDA and LSTM.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

LAHNet: A Convolutional Neural Network Fusing Low- and High-Level Features for Aerial Scene Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Deep Recurrent Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2017

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017

Deep learning in remote sensing: a review.
CoRR, 2017

A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes.
Proceedings of the Joint Urban Remote Sensing Event, 2017

FusioNet: A two-stream convolutional neural network for urban scene classification using PolSAR and hyperspectral data.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Identifying corresponding patches in SAR and optical imagery with a convolutional neural network.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection.
Remote Sensing, 2016

Video parsing via spatiotemporally analysis with images.
Multimedia Tools Appl., 2016

Spatiotemporal scene interpretation of space videos via deep neural network and tracklet analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Scene Recognition by Manifold Regularized Deep Learning Architecture.
IEEE Trans. Neural Netw. Learning Syst., 2015

Semi-Supervised Multitask Learning for Scene Recognition.
IEEE Trans. Cybernetics, 2015

Scene Parsing From an MAP Perspective.
IEEE Trans. Cybernetics, 2015

2013
Object or background: Whose call is it in complicated scene classification?
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013


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