吕宪伟,男,1992年1月出生,河北沧州人,武汉大学测绘遥感信息工程国家重点实验室工学博士学位,讲师。目前主要从事人工智能与遥感影像处理的研究。作为主要参与人参与国家重点研发计划项目子课题、国家自然科学基金面上项目等多项课题。以第一作者身份发表SCI文章5篇。ISPRS Journal of Photogrammetry and Remote Sensing, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, International journal of remote sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing等国际知名期刊审稿人。

联系方式

邮箱:lvxianwei@neuq.edu.cn

办公室:综合楼1311

研究方向

遥感影像智能解译、超像素分割、语义分割、并行运算、土地覆盖分类等研究任务

教育背景

武汉大学,测绘遥感信息工程国家重点实验室,博士,导师:邵振峰,2019.09-2023.06

特温特大学(Twente University),地理信息科学与对地观测学院(ITC),联合培养,导师:Claudio Persello,2021.09-2023.02

中国地质大学(北京),信息工程学院,硕士,导师:明冬萍,2016.09-2019.06

东华理工大学,测绘工程学院,本科,2012.09-2016.06

部分学术成果:

[1] Lv Xianwei, Claudio Persello, Zhao Wufan*, Huang Xiao, Hu Zhongwen, Dongping Ming, Alfred Stein. “Pruning for Image Segmentation: Improving Computational Efficiency for Large-scale Remote Sensing Applications”, ISPRS Journal of Photogrammetry and Remote Sensing, IF=12.7, doi.org/10.1016/j.isprsjprs.2023.05.024.(中科院1区,JCR1区)

[2] Lv Xianwei, Shao Zhenfeng*, Huang Xiao, Zhou Wen, Ming Dongping, Wang Jiaming, Tong Chengzhuo. “BTS: a binary tree sampling strategy for object identification based on deep learning”, International Journal of Geographical Information Science, 2021, IF=5.7, doi.org/10.1080/13658816.2021.1980883(中科院2区,JCR1区)

[3] Lv Xianwei, Shao Zhenfeng*, Ming Dongping, Diao Chunyuan, Zhou Keqi, and Tong Chengzhuo, "Improved object-based convolutional neural network (IOCNN) to classify very high-resolution remote sensing images," International Journal of Remote Sensing, 2021, IF=3.4, doi.org/10.1080/01431161.2021.1951879.(中科院3区,JCR2区)

[4] Lv Xianwei, Ming Dongping*, Lu Tingting, Zhou Keqi, Wang Min, and Bao Hanqing, "A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification," remote sensing, vol. 10(12), 2018, IF=5.0, doi: 10.3390/rs10121946. (中科院2区,JCR1区)

[5] Lv Xianwei, Ming Dongping*, Chen Yangyang, and Wang Min, "Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification," International Journal of Remote Sensing, pp. 1-26, 2018, IF=3.4, doi: 10.1080/01431161.2018.1513666.(中科院3区,JCR2区)

其他学术成果:

[6] Yangyang Chen, Dongping Ming* and Xianwei Lv. “Superpixel based land cover classification of VHR satellite image combining multi-scale CNN and scale parameter estimation”. Earth Science Informatics. IF=2.8 .Doi: .1007/s 12145-019-00383-2.(中科院4区,JCR2区)

[7] Wen Zhou, Ming Dongping*, Lv Xianwei, Keqi Zhou and Hanqing Bao. “SO–CNN based urban functional zone fine division with VHR remote sensing image”. Remote Sensing of Environment. 2020, 236: 111458. IF=13.5, doi.org/10.1016/j.rse.2019.111458.(中科院1区,JCR1区)

[8] Zhou Keqi, Ming Dongping*, Lv Xianwei, Fang Ju and Wang Min. “CNN-Based Land Cover Classification Combining Stratified Segmentation and Fusion of Point Cloud and Very High-Spatial Resolution Remote Sensing Image Data”. Remote sesing. IF=5.0, Doi: 10.3390/rs11172065. (中科院2区,JCR1区)

[9] Zhou Wen, Ming Dongping*, Hong Zhaoli, Lv Xianwei. Scene division based stratified object oriented remote sensing image classification. Conference paper 2018 EORSA.


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