慎利 副教授

博士生导师

硕士生导师

个人信息Personal Information


学历:博士研究生毕业

学位:理学博士学位

办公地点:西南交通大学犀浦校区 四号教学楼X4502

毕业院校:北京师范大学

学科:摄影测量与遥感

所在单位:地球科学与工程学院

报考该导师研究生的方式

欢迎你报考慎利老师的研究生,报考有以下方式:

1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择慎利老师,你的所有申请信息将发送给慎利老师,老师看到后将和你取得联系,点击此处参加夏令营活动

2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请慎利老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为慎利老师,老师看到信息后将和你取得联系,点击此处推免生预报名

3、参加全国硕士研究生统一招生考试报考慎利老师招收的专业和方向,进入复试后提交导师意向时选择慎利老师。

4、如果你有兴趣攻读慎利老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。

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论文成果

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[1]   Xin Yan, Li Shen*, Junjie Pan, Jicheng Wang, Chao Chen, Zhilin Li. ALNet: auxiliary learning based network for weakly supervised building extraction from high-resolution remote sensing images. IEEE Transactions on Remote Sensing, 2023. Doi: 10.1109/TGRS.2023.3314465. 

[2] Wenfan Qiao, Li Shen*, Jicheng Wang, Xiaotian Yang, Zhilin Li. A weakly supervised semantic segmentation approach for damage building extraction from post-earthquake high-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 2023, 20, 6002705.

[3] Yuting Huang Bingxue Yuan, Xueqing Wang, Yongsheng Dai, Dongmei Wang, Zhengjun Gong, Junmin Chen, Li Shen*, Meikun Fan*, Zhilin Li. Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network. Water Research, 2023, 232, 119662.  (水环境领域顶刊-交叉学科)

[4] Yanshuai Dai, Kongyang Zhao, Li Shen*, Shichuan Liu, Xin Yan, Zhilin Li. A siamese network combining multi-scale joint supervision and improved consistency regularization for weakly supervised building change detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 4963-4982.

[5] Jicheng Wang, Xin Yan, Li Shen*, Tian Lan, Xunqiang Gong, Zhilin Li. Scale-invariant multi-level content aggregation network for weakly supervised building extraction. Remote Sensing, 2023: 15(5), 1432.

[6] Xin Yan, Li Shen*, Jicheng Wang, Yong Wang, Zhilin Li, Zhu Xu. PANet: Pixelwise affinity network for weakly supervised building extraction from high-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 6515905.

[7] Xin Yan, Li Shen*, Jicheng Wang, Xu Deng, Zhilin Li. MSG-SR-Net: A weakly supervised network integrating multi-scale generation and super-pixel refinement for building extraction from high-resolution remotely sensed imageries. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 1012-1023.

[8] Jicheng Wang, Li Shen*, Wenfan Qiao, Yanshuai Dai, Zhilin Li. Deep feature fusion with integration of residual connection and attention model for classification of VHR remote sensing images. Remote Sensing, 2019, 11(13): 1617.

[9] Li Shen*, Linmei Wu, Yanshuai Dai, Wenfan Qiao, Ying Wang. Topic modelling for object-based unsupervised classification of VHR panchromatic satellite images based on multiscale image segmentation. Remote Sensing, 2017, 9(8): 840.

[10] Yuanxin Ye, Li Shen*, Ming Hao, Zhu Xu. Robust optical-to-SAR image matching based on shape properties. IEEE Geoscience and Remote Sensing Letters, 2017, 14(4): 564-568.

[11] Li Shen, Hong Tang, Yunhao Chen, Adu Gong, Jing Li, Wenbin Yi.  A semisupervised latent Dirichlet alloction model for object-based classification of VHR panchromatic satellite images.. IEEE Geoscience and Remote Sensing Letters, 2014, 4(11): 863-867.

[12] Hong Tang, Li Shen, Yinfeng Qi, Yunhao Chen, Yang Shu, Jing Li, David A. Clausi. A multiscale latent Dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(3):1680-1692.

[13] 慎利, 徐柱, 李志林, 刘万增, 崔秉良. 从地理信息服务到地理知识服务: 基本问题与发展路径. 测绘学报, 2021, 50(9):1194-1202.

[14] 曹云刚, 王志盼, 慎利*, 肖雪, 杨磊. 像元与对象特征融合的高分辨率遥感影像道路中心线提取.测绘学报, 2016, 45(10):1231-1240.

[15] 慎利, 唐宏, 王世东, 张露. 结合空间像素模板和Adaboost算法的高分辨率遥感影像河流提取. 测绘学报, 2013, 4(3):344-350.