人物經歷
教育經歷
2000.9—2003.3,
西北工業大學自動控制系,厚驗牛碩士。
1996.9—2000.7,長安大學,本科。
工作經歷
2010.11-2014.4,湖南大學電氣與信息工程學院,從事博士後研究工作。
2015.1-2016.1,美國Oklahoma State University訪問學者
主講課程
數字圖像處理、機器視覺及套用、自動控制原理、嵌入式系統及套用等
科研成果
1.
國家自然科學基金面上項目(名稱:融合協同學習機制的弱監督交通目標檢測方法研究(項目編號:茅棗想61971183),主持;
2.國家自然科學基金面上項目(名稱:融合視覺特性的交通視頻霧霾去除方法研究(項目編號:61471166),主持;
3.湖南省
自然科學基金面上項目(名稱:基於判別性稀疏編碼的駕駛員疲勞狀態監測關鍵技術及套用研究(項目編號:14JJ2051),主持;
4.科技部智慧型交通領域“863”計畫課題(名稱:機器視覺感知與智慧型車載控制,課題編號:2012AA112312),參與;
6.項目驅動式教學在《數字圖像處理》課程中的探索與實踐,湖南大學教改項目,主持.
學術成果
學術論文
1、ZhigangLing, Xiuxin Li, Wen Zou, Min Liu.Joint Haze-relevant Features Selection and Transmission Estimation via Deep Belief Network for Efficient Single Image Dehazing. International Conference on Pattern Recognition, 2018,8,20-23 (oral).
2、埋姜潤ZhigangLing, Xiuxin Li, wen Zou, Siyu Guo. Semi Supervised Learning via Convolutional Neural Network for Hyperspectral Image Classification. International Conference on Pattern Recognition, 2018, 8,20-23 (poster).
3、Zhigang Ling,Jianwei Gong,Guoliang Fan,Xiao Lu. Optimal Transmission Estimation via Fog Density Perception for Efficient Single Image Defogging,IEEE Transactions on Multimedia, 2018,Vol.20(7): 1699-1711.
4、Zhigang Ling,Jianwei Gong,Guoliang Fan,Siyu Guo.Learning Deep Transmission Network for Efficient Image Dehazing,Multimedia Tools and Applications, 2019,Vol 78(1), 213–236.
5、黃旭;凌志剛,李繡記獄拜心諒己辣店.一種融合判別式乃凳棵婆深度特徵學習的圖像識別算法,中國圖像圖形學報,2018,Vol.23(4): 510-518
6、Zhigang Ling, Guoliang Fan, Yan Liang, Junyi Zuo. Joint optimization and perceptual boosting of global and local contrast for efficient contrast enhancement,Multimedia Tools and Applications, 2018,Vol.77 (2), 2467–2484.
7、Zhigang Ling,Guoliang Fan, Jianwei Gong, Yaonan Wang, Xiao Lu. Perception oriented transmission estimation for high quality image Dehazing,Neurocomputing, 2017,Vol. 224, 82–95.
8、Xiao Lu; Yaonan Wang; Xuanyu Zhou; Zhenjun Zhang; Zhigang Ling. Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-Task Learning. IEEE Transactions on Intelligent Transportation Systems, 2017, Vol.18 (4):960 - 972
9、Zhigang Ling,Guoliang Fan,Yaonan Wang, Xiao Lu. Learning deep transmission network for single image dehazing, 2016 IEEE International Conference on Image Processing.
10、Xiao Lu,Yaonan Wang,Xuanyu Zhou. Zhigang Ling. A Method for Metric Learning with Multiple-Kernel Embedding,Neural Processing Letters, 2016,Vol 43 (3): 905–921
11、Zhigang Ling, Yan Liang, Yaonan Wang, He Shen, Xiao Lu. Adaptive extended piecewise histogram equalisation for dark image enhancement. IET Image Processing. 2015, Vol. 9(11), 1012 – 1019.
12、Zhigang Ling, Shutao Li, Yaonan Wang, He Shen, Xiao Lu. Adaptive transmission compensation via human visual system for efficient single image dehazing. The visual computer. 2016,Vol. 3(5), 653–662.
13、Yaonan Wang, Xiao Lu, Zhigang Ling, Yimin Yang, Zhenjun Zhang, and Kena Wang. A Method to Calibrate Vehicle-Mounted Cameras Under Urban Traffic Scenes. IEEE Transactions on Intelligent Transportation Systems, 2015,Vol.16(6):1-10.
14、唐宇,凌志剛,李建成,白璐.基於自適應特徵融合的壓縮感知跟蹤算法.計算機工程與套用. 2015, 51(10): 160-165.
15、Zhigang Ling,Xiao Lu, Yaonan Wang, Xi He, Adaptive Moving Cast Shadow Detection by Integrating Multiple Cues, Chinese of Journal Electronics. Vol.22 (4), 757-762. 2013.
16、Zhigang Ling, Yaonan Wang, Xiao Lu. Local Sparse Representation for Driver Drowsiness Expression Recognition. The Chinese Automation Congress CAC2013, Nov. 7-8th, Changsha, China.
專著出版
凌志剛,李耀軍,潘泉等,無人機景象匹配輔助導航技術,西安:西北工業大學出版社,2016.8
發明專利
1.凌志剛,龔建偉,鄒文,一種基於圖像霧霾濃度估計的單幅圖像去霧方法,(發明專利),申請號:201710190219.6
2.凌志剛,鄒文,龔建偉,一種圖像霧霾濃度的估計方法,(發明專利),申請號:201710189205.2
3.凌志剛,王耀南,瞿亮等,一種基於可擴展分段直方圖自適應均衡化方法(發明專利),受權號:ZL20140304816.3
4.凌志剛,王國鋒,王耀南,瞿亮。一種融合人眼視覺特性的單幅圖像去霧方法,(發明專利),受權號:ZL20141042624.3
5.凌志剛,唐宇,關鍵崗位人員疲勞狀態監測與預警系統(
軟體著作權),登記號: 2014SR098376
榮譽獎勵
3、Zhigang Ling,Jianwei Gong,Guoliang Fan,Xiao Lu. Optimal Transmission Estimation via Fog Density Perception for Efficient Single Image Defogging,IEEE Transactions on Multimedia, 2018,Vol.20(7): 1699-1711.
4、Zhigang Ling,Jianwei Gong,Guoliang Fan,Siyu Guo.Learning Deep Transmission Network for Efficient Image Dehazing,Multimedia Tools and Applications, 2019,Vol 78(1), 213–236.
5、黃旭;凌志剛,李繡心.一種融合判別式深度特徵學習的圖像識別算法,中國圖像圖形學報,2018,Vol.23(4): 510-518
6、Zhigang Ling, Guoliang Fan, Yan Liang, Junyi Zuo. Joint optimization and perceptual boosting of global and local contrast for efficient contrast enhancement,Multimedia Tools and Applications, 2018,Vol.77 (2), 2467–2484.
7、Zhigang Ling,Guoliang Fan, Jianwei Gong, Yaonan Wang, Xiao Lu. Perception oriented transmission estimation for high quality image Dehazing,Neurocomputing, 2017,Vol. 224, 82–95.
8、Xiao Lu; Yaonan Wang; Xuanyu Zhou; Zhenjun Zhang; Zhigang Ling. Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-Task Learning. IEEE Transactions on Intelligent Transportation Systems, 2017, Vol.18 (4):960 - 972
9、Zhigang Ling,Guoliang Fan,Yaonan Wang, Xiao Lu. Learning deep transmission network for single image dehazing, 2016 IEEE International Conference on Image Processing.
10、Xiao Lu,Yaonan Wang,Xuanyu Zhou. Zhigang Ling. A Method for Metric Learning with Multiple-Kernel Embedding,Neural Processing Letters, 2016,Vol 43 (3): 905–921
11、Zhigang Ling, Yan Liang, Yaonan Wang, He Shen, Xiao Lu. Adaptive extended piecewise histogram equalisation for dark image enhancement. IET Image Processing. 2015, Vol. 9(11), 1012 – 1019.
12、Zhigang Ling, Shutao Li, Yaonan Wang, He Shen, Xiao Lu. Adaptive transmission compensation via human visual system for efficient single image dehazing. The visual computer. 2016,Vol. 3(5), 653–662.
13、Yaonan Wang, Xiao Lu, Zhigang Ling, Yimin Yang, Zhenjun Zhang, and Kena Wang. A Method to Calibrate Vehicle-Mounted Cameras Under Urban Traffic Scenes. IEEE Transactions on Intelligent Transportation Systems, 2015,Vol.16(6):1-10.
14、唐宇,凌志剛,李建成,白璐.基於自適應特徵融合的壓縮感知跟蹤算法.計算機工程與套用. 2015, 51(10): 160-165.
15、Zhigang Ling,Xiao Lu, Yaonan Wang, Xi He, Adaptive Moving Cast Shadow Detection by Integrating Multiple Cues, Chinese of Journal Electronics. Vol.22 (4), 757-762. 2013.
16、Zhigang Ling, Yaonan Wang, Xiao Lu. Local Sparse Representation for Driver Drowsiness Expression Recognition. The Chinese Automation Congress CAC2013, Nov. 7-8th, Changsha, China.
專著出版
凌志剛,李耀軍,潘泉等,無人機景象匹配輔助導航技術,西安:西北工業大學出版社,2016.8
發明專利
1.凌志剛,龔建偉,鄒文,一種基於圖像霧霾濃度估計的單幅圖像去霧方法,(發明專利),申請號:201710190219.6
2.凌志剛,鄒文,龔建偉,一種圖像霧霾濃度的估計方法,(發明專利),申請號:201710189205.2
3.凌志剛,王耀南,瞿亮等,一種基於可擴展分段直方圖自適應均衡化方法(發明專利),受權號:ZL20140304816.3