Panle Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Multispectral Images

Road Extraction

Top Venues

Int. J. Appl. Earth Obs. Geoinformation

IEEE Trans. Geosci. Remote. Sens.

Publications

Jing Chang, Xiaohui He, Panle Li, Ting Tian, Xijie Cheng, Mengjia Qiao, Tao Zhou, Beibei Zhang, Ziqian Chang, Tingwei Fan
Multi-Scale Attention Network for Building Extraction from High-Resolution Remote Sensing Images. Sensors 24 (3) (2024)
Zhihui Tian, Xiaoyu Guo, Xiaohui He, Panle Li, Xijie Cheng, Guangsheng Zhou
MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images. Int. J. Digit. Earth 16 (1) (2023)
Mengjia Qiao, Xiaohui He, Xijie Cheng, Panle Li, Qianbo Zhao, Chenlu Zhao, Zhihui Tian
KSTAGE: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction. Inf. Sci. 619 (2023)
Xijie Cheng, Xiaohui He, Mengjia Qiao, Panle Li, Shaokai Hu, Peng Chang, Zhihui Tian
Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 107 (2022)
Panle Li, Xiaohui He, Mengjia Qiao, Xijie Cheng, Jiamian Li, Xiaoyu Guo, Tao Zhou, Dingjun Song, Mingyang Chen, Disheng Miao, Yinjie Jiang, Zhihui Tian
Exploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy Datasets. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Panle Li, Xiaohui He, Xijie Cheng, Mengjia Qiao, Dingjun Song, Mingyang Chen, Tao Zhou, Jiamian Li, Xiaoyu Guo, Shaokai Hu, Zhihui Tian
An improved categorical cross entropy for remote sensing image classification based on noisy labels. Expert Syst. Appl. 205 (2022)
Panle Li, Xiaohui He, Mengjia Qiao, Disheng Miao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Xinyu Yan, Zhihui Tian
Corrigendum to "Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction" [Int. J. Appl. Earth Observ. Geoinf. 104 (2021) 102544]. Int. J. Appl. Earth Obs. Geoinformation 114 (2022)
Panle Li, Zhihui Tian, Xiaohui He, Mengjia Qiao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Zhiqiang Li, Daidong Li, Zihao Ding, Runchuan Li
LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images. IET Image Process. 15 (13) (2021)
Panle Li, Xiaohui He, Dingjun Song, Zihao Ding, Mengjia Qiao, Xijie Cheng, Runchuan Li
Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels. PRCV (4) (2021)
Mengjia Qiao, Xiaohui He, Xijie Cheng, Panle Li, Haotian Luo, Zhihui Tian, Hengliang Guo
Exploiting Hierarchical Features for Crop Yield Prediction Based on 3-D Convolutional Neural Networks and Multikernel Gaussian Process. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Panle Li, Xiaohui He, Mengjia Qiao, Disheng Miao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Xinyu Yan, Zhihui Tian
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction. Int. J. Appl. Earth Obs. Geoinformation 104 (2021)
Mengjia Qiao, Xiaohui He, Xijie Cheng, Panle Li, Haotian Luo, Lehan Zhang, Zhihui Tian
Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks. Int. J. Appl. Earth Obs. Geoinformation 102 (2021)
Panle Li, Xiaohui He, Mengjia Qiao, Xijie Cheng, Zhiqiang Li, Haotian Luo, Dingjun Song, Daidong Li, Shaokai Hu, Runchuan Li, Pu Han, Fangbing Qiu, Hengliang Guo, Jiandong Shang, Zhihui Tian
Robust Deep Neural Networks for Road Extraction From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59 (7) (2021)
Panle Li, Xiaohui He, Xijie Cheng, Xu Gao, Runchuan Li, Mengjia Qiao, Daidong Li, Fangbing Qiu, Zhiqiang Li
Object Extraction From Very High-Resolution Images Using a Convolutional Neural Network Based on a Noisy Large-Scale Dataset. IEEE Access 7 (2019)