霍宏

职称:副研究员

邮箱:huohong@sjtu.edu.cn

电话:021-34204758

地址:电信群楼 2-435

教育经历

2006.9-2014.9    上海交通大学    模式识别与智能系统    博士
1995.7-1998.3    吉林工业大学     计算机应用                  硕士
1991.9-1995.7    吉林工业大学     计算机应用                  学士

工作经历

2018.1-  至今             上海交通大学   副研究员 
2000.4- 2017.12       上海交通大学   讲师 
1998.4- 2000.4         上海交通大学   助教

科研方向

深度学习与类脑智能、遥感大数据智能处理与理解

科研项目

主持
【1】省部级专项,2017.12-2019.12
【2】国家自然科学基金青年基金,基于贝叶斯集成的视觉注意模型及其高分辨率遥感影像目标快速检测研究,2012.01-2014.12 
 
参加
【1】国家级项目,2016.12-2018.06
【2】国家973,高分辨率遥感影像的目标特征描述与数学建模,2012.01-2016.12
【3】国家973,高性能的遥感影像网格计算与信息解译的智能方法,2006.01-2010.12
【4】国家863,高空间分辨率遥感图像精细分类及其变化检测关键技术研究,2006.12-2010.10
【5】国家自然科学基金,基于生物视觉启发的卫星遥感影像对象解译理论研究,2011.01-2013.12
【6】上海市科委,基于影像内容的自动搜索和特定目标的变化检测与更新技术研究,2005.10-2007.12
【7】博士点基金项目,高空间分辨率卫星遥感目标识别的若干理论研究,2010.01-2011.12
【8】国家863,基于SIG框架的(上海)城市空间信息应用服务系统,2002.07-2005.06
【9】上海市科委,无线传感器网络关键技术攻关及其在道路交通中的应用示范研究,2005.08-2007.06
【10】上海市科委,基于空间影像信息的智能引擎技术,2002.06-2004.06
【11】国家863,基于内容的遥感影像相似性检索理论与关键技术研究,2001.10-2003.12

科研成果

专著
【1】方涛,霍宏,马贺平. 高分辨率遥感影像智能解译. 北京:科学出版社,2016.3 
【2】万卫兵,霍宏,赵宇明,智能视频监控中目标检测与识别,上海交通大学出版社, 2010.1 
【3】方涛,霍宏,遥感影像解译的理论与方法(第7章),对地观测数据处理与分析研究进展(龚健雅主编),武汉大学出版社,2007.12,pp.109-135 
 
学术论文
【1】Hong Huo, Jianjun Qing, Tao Fang, and Nan Li. Land Cover Classification Using Local Softened Affine Hull. IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4369-4383, 2012.  
【2】 Nan Li, Hong Huo*, Tao Fang, A Novel Texture-Preceded Segmentation Algorithm for High Resolution Imagery, IEEE Transactions on Geoscience and Remote Sensing, 48(7): 2818-2828, 2010.
【3】Lihong Wan, Na Liu, Hong Huo*, Tao Fang.  Selective Convolutional Neural Networks and Cascade Classifiers for Remote Sensing Image Classification. Remote Sensing Letters, 8(10): 917-926,2017. 
【4】 Laiwen Zheng, Hong Huo*, Yiyou Guo, Tao Fang. Supervised adaptive incremental clustering for data stream of chunks. Neurocomputing,219: 502-517,2017.
【5】Jianjun Qing, Hong Huo*, Tao Fang, Pattern Classification Based on k Locally Constrained Line,Soft Computing, 15(4): 703-712, 2011.
【6】 Jianjun Qing, Hong Huo*, Tao Fang, Supervised land cover classification based on locally reduced convex hull, International Journal of Remote Sensing, 31(8): 2179-2187, 2010.
【7】Jianjun Qing, Hong Huo*, Tao Fang, Supervised Classification of Multispectral Remote Sensing Images Based on the Nearest Reduced Convex Hull Approach, Journal of Applied Remote Sensing, 3(1): 033550-18, 2009.
【8】Lihong Wan, Hong Huo*, Tao Fang. Age and gender classification in the wild with unsupervised feature learning. Journal of Electronic Imaging, 26(2): 023007 (1-13),2017.
【9】Hongbing Huang, Hong Huo, Tao Fang, Hierarchical Manifold Learning With Applications to Supervised Classification for High Resolution Remotely Sensed Images. IEEE Transactions on Geoscience and Remote Sensing, 52(3): 1677-1692,2014.
【10】  Hong Huo and Tao Fang.  Orientation pooling based on sparse representation for rotation invariant texture features Extraction. IEEE TENCON 2013, October 22–25, Xi’an China: 2159-3442, 2013.
【11】 Hong Huo and Tao Fang. Integration of bottom-up and top-down cues in Bayesian network for object detection. 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, December 20–22, Shenyang, China: 883-887,2013. 
【12】Li Chaoyang, Huo Hong, Tao Fang. Oil Depot Detection from High Resolution Remote Sensing Image Based on Salient Region Extraction. 2016 International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, China, 11-12 July: 285-288,2016.
【13】Yuhui Li, Hong Huo and Tao Fang. Hierarchical Segmentation of Remote Sensing Images by Unsupervised Deep Learning Features. 2017 10th International Symposium on Computational Intelligence and Design (ISCID 2017), Dec. 9-10, Hangzhou, China, 1: 448-453, 2017. 
【14】Qiankun Ye, Hong Huo, Tinghe Zhu and Tao Fang. Harbor Detection in Large-scale Remote Sensing Images using Both Deep-learned and Topological Structure. 2017 10th International Symposium on Computational Intelligence and Design (ISCID 2017), Dec. 9-10, Hangzhou, China, 1: 218-222, 2017. 
【15】 Jiaxing Liu, Hong Huo, Weitai Hu, Jingling Li, Tao Fang, 2018. Brain-inspired hierarchical spiking neural network using unsupervised STDP rule for image classification. Proceedings of 2018 10th International Conference on Machine Learning and Computing, ICMLC 2018. February 26-28, Macau, China: 230-235, 2018.
 
专利
基于纹理聚类约束的高分辨率遥感图像分割方法;授权日:2010.12.29;专利号:ZL200910046348.3;发明人:方涛、李楠、霍宏
 
软件著作权
【1】霍宏, 方涛等. 高分辨率遥感影像目标特征库管理软件[简称:ELUOFDB] V1.0. 登记号: 2016SR050350
【2】方涛, 霍宏等. 遥感影像智能解译平台软件[简称:译陆(ELU)]V1.0. 登记号: 2007SR05662

教授课程

C语言程序设计
计算机网络
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