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ORCIDPanle Li
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- affiliation: Zhengzhou University, Henan, China
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2020 – today
- 2024
[j13]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): 1010 (2024)- 2023
- [j12]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): 1-30 (2023) - [j11]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: 19-37 (2023) - 2022
- [j10]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: 102706 (2022) - [j9]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: 102954 (2022) - [j8]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: 117296 (2022) - [j7]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: 1-18 (2022) - 2021
- [j6]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: 102436 (2021) - [j5]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: 102544 (2021) - [j4]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): 3239-3253 (2021) - [j3]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: 4476-4489 (2021) - [j2]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): 6182-6197 (2021) - [c1]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: 78-89
2010 – 2019
- 2019
- [j1]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: 122784-122795 (2019)
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