E-mail: ls1665@sina.com
1.个人简历
刘爽,副教授,硕士生导师。毕业于中国科学院自动化研究所,获工学博士学位。2016年入选天津市“131”创新型人才培养工程第三层次。主要研究方向为:数字图像处理,模式识别,计算机视觉,机器学习。
2.个人教学
主要讲授高等数学,模式识别,数字图像处理等。
3.科研成果
1)部分代表文章:
[1].第一作者, “Information Integration for Ground-based CloudClassification using Joint Consistent Sparse Coding in Heterogeneous SensorNetwork,” Signal Processing, vol. 126, no. 2016, pp. 165-172, 2016 (SCI检索)
[2].第一作者, “Ground-based Cloud Detection Using AutomaticGraph Cut,”IEEE Geoscience and Remote Sensing Letters(GRSL); vol. 12, no. 6, pp. 1342-1346, 2015;(SCI检索)
[3].第一作者, “Automatic Cloud Detection for All-sky Images UsingSuperpixel Segmentation,”IEEE Geoscience and Remote Sensing Letters (GRSL) , vol. 12, no. 2, pp.354-358, 2015;(SCI检索)
[4].第一作者, “Ground-basedCloud Classification using Weighted Local Binary Patterns,”Journalof Applied Remote Sensing(JARS); vol. 9, no. 1, Article ID 095062, Aug27, 2015; (SCI检索)
[5].第一作者, “Learning Discriminative Features forGround-based Cloud Classification via Mutual Information Maximization,”IEICE Transactions on Information and Systems; vol. E98-D, no.7, pp. 1422-1425,July 2015; (SCI检索)
[6].第一作者,“Tensor Ensemble of Ground-based CloudSequences: its modeling, classification and synthesis,” IEEE Geoscience and RemoteSensing Letters (GRSL), vol. 10, no. 5, pp. 1190- 1194, 2013; (SCI检索)
[7].第一作者,“SalientLocal Binary Pattern for Ground-based Cloud Classification,” Acta MeteorologicaSinica, vol. 27, no. 2, pp. 211-220, 2013; (SCI检索)
2)主要科研项目:
[1].主持:“融入时空关系联合判别学习的地基云图序列分类方法研究”,国家自然科学基金项目青年基金(61501327),2016.01-2018.12.
[2].主持:“基于判别低秩张量词典学习的地基云图分类方法研究”,天津市应用基础与前沿技术研究计划青年基金项目(15JCQNJC01700),2015.04-2018.03.