车明亮

发布者:黄跃进发布时间:2022-03-17浏览次数:1287


车明亮

个人简介:

博士毕业于中国科学院大学地图学与地理信息系统专业,现入职南通大学地理信息科学系从事教学科研工作。研究领域主要为Web地图开发、机器学习、自动化三维建模等。参与国家自然科学基金及横向课题多项,编写本科生教材1部,发表国内外期刊论文30余篇,申请发明专利10余项。2022年获地理信息科技进步奖二等奖(序3)。

研究方向:

Web地图开发、机器学习、自动化三维建模

研究成果(近五年代表作):

[1]  Mingliang Che, Zhenhua Wu, Xiaowen Wang, Chi Zhang,Fan Yang, Designing lightweight small object detection models using attention and context, Multimedia Tools and Applications, 2023, 1-24.

[2]  Fan Yang, You Li, Mingliang Che, Shihua Wang, Yingli Wang, Jiyi Zhang, Xinliang Cao, Chi Zhang, The Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room Segmentation and Space Partition, International Journal of Geo-Information, 2022, 11(530): 1-22.

[3]  Zhenhua Wu, Mingliang Che, Shutao Zhang, Linghua Duo, Shaogang Lei, Qingqing Lu, Qingwu Yan, Remote Sensing Monitoring and Driving Force Analysis of Salinized Soil in Grassland Mining Area, Sustainability, 2022, 14,741: 1-16.

[4]  Fan Yang, Mingliang Che, Xinkai Zuo, Lin Li, Jiyi Zhang, Chi Zhang, Volumetric Representation and Sphere Packing of Indoor Space for Three-Dimensional Room Segmentation, International Journal of Geo-Information, 2021, 739: 1-16.

[5]  周雨航,车明亮,王晓文,钞振华,张驰,于扬鸿, 图像分类方法对比评价研究, 智能计算机与应用, 2021, 11(11): 43-48+53.

[6]  钞振华,车明亮,侯胜芳, 基于时间序列遥感数据植被物候信息提取软件发展现状, 自然资源遥感, 2021, 33(4): 19-25.

[7]  Mingliang Che, Mingjun Che, Zhenhua Chao, Xinliang Cao, Traffic Light Recognition for Real Scenes Based on Image Processing and Deep Learning, Computing and Informatics, 2020, 39(3): 439-463.

[8]  Zhenhua Chao, Liangxu Wang, Mingliang Che, Shengfang Hou, Effects of Di erent Urbanization Levels on Land Surface Temperature Change: Taking Tokyo and Shanghai for Example, Remote Sens., 2020, 12: 1-18.

[9]  Mingliang Che, Yingli Wang, Chi Zhang and Xinliang Cao, An Enhanced Hidden Markov Map Matching Model for Floating Car Data, Sensors, 2018, 18(6): 1-19.