Mengjia Qiao

Research on Coordination of Urbanization and Driving Forces of Urban Agglomeration in China Based on Nighttime Light Data

Xiaohui He, Mengjia Qiao, 2018, 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics).

Robust Deep Neural Networks for Road Extraction From Remote Sensing Images

Xiaohui He, Runchuan Li, Zhiqiang Li, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Object Extraction From Very High-Resolution Images Using a Convolutional Neural Network Based on a Noisy Large-Scale Dataset

Xu Gao, Zhiqiang Li, Runchuan Li, 2019, IEEE Access.

Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction

Mengjia Qiao, Xinyu Yan, Panle Li, 2021, Int. J. Appl. Earth Obs. Geoinformation.

LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images

Runchuan Li, Mengjia Qiao, Panle Li, 2021, IET Image Process..

Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels

Runchuan Li, Mengjia Qiao, Panle Li, 2021, PRCV.

Exploiting Hierarchical Features for Crop Yield Prediction Based on 3-D Convolutional Neural Networks and Multikernel Gaussian Process

Zhihui Tian, Mengjia Qiao, Hengliang Guo, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks

Mengjia Qiao, Panle Li, Xijie Cheng, 2021, Int. J. Appl. Earth Obs. Geoinformation.