光电工程, 2015, 42 (7): 31, 网络出版: 2015-08-25   

可见光海面目标检测的结构随机森林方法

Structured Random Forests for Target Detection in Sea Images
作者单位
1 上海海事大学 商船学院, 上海 201306
2 兰州交通大学 电子与信息工程学院, 兰州 730070
引用该论文

雷琴, 施朝健, 陈婷婷. 可见光海面目标检测的结构随机森林方法[J]. 光电工程, 2015, 42(7): 31.

LEI Qin, SHI Chaojian, CHEN Tingting. Structured Random Forests for Target Detection in Sea Images[J]. Opto-Electronic Engineering, 2015, 42(7): 31.

参考文献

[1] 姜维,邓维波,杨强.高频超视距混合天地波雷达海杂波特点分析[J].电子与信息学报,2011,33(8):1786-1791.

    JIANG Wei,DENG Weibo,YANG Qiang.Analyse of Sea Clutter for HF over the Horizon Hybrid Sky-surface Wave Radar[J].Journal of Electronics & Information Technology,2011,33(8):1786-1791.

[2] 万磊,曾文静,张铁栋,等.基于梯度信息融合的海面红外目标实时检测[J].红外与激光工程,2013,42(1):41-45.

    WAN Lei,ZENG Wenjing,ZHANG Tiedong,et al.Real-time Detection of Marine Infrared Objects based on the Fusion of Gradient Information[J].Infrared and Laser Engineering,2013,42(1):41-45.

[3] 王保云,张荣,袁圆,等.可见光遥感图像中舰船目标检测的多阶阈值分割方法[J].中国科学技术大学学报,2011,41(4):293-298.

    WANG Baoyun,ZHANG Rong,YUAN Yuan,et al.A New Multi-level Threshold Segmentation Method for Ship Targets Detection in Optical Remote Sensing Images[J].Journal of University of Science and Technology of China,2011,41(4):293-298.

[4] 周伟,关键,何友.光学遥感图像低可观测区域舰船检测[J].中国图象图形学报,2012,17(9):1181-1187.

    ZHOU Wei,GUAN Jian,HE You.Ship Detection from Low Observable Regions in Optical Remote Sensing Imagery[J].Journal of Image and Graphics,2012,17(9):1181-1187.

[5] Vard A,Jamshidi K,Movahhedinia N.Small Object Detection in Cluttered Image using a Correlation based Active Contour Model[J].Pattern Recognition Letters(S0167-8655),2012,33(5):543-553.

[6] WANG Chao,JIANG Shaofeng,ZHANG Hong,et al.Ship Detection for High-Resolution SAR Images Based on Feature Analysis[J].IEEE Geoscience and Remote Sensing Letters(S1545-598X),2014,11(1):119-123.

[7] WANG Chao,ZHANG Hong,WU Fan,et al.A Novel Hierarchical Ship Classifier for COSMO-SkyMed SAR Data[J].IEEE Geoscience and Remote Sensing Letters(S1545-598X),2014,11(2):484-488.

[8] Breiman L.Random Forests[J].Machine Learning(S0885-6125),2001,45(1):5-32.

[9] Tsochantaridis I,Joachims T,Hofmann T.Large margin methods for structured and interdependent output variables[J].Journal of Machine Learning Research(S1532-4435),2005,6:1453-1484.

[10] Kontschieder P,Bulo S R,Bischof H.Structured class-labels in random forests for semantic image labeling[C]//Computer Vision (ICCV),2011 IEEE International Conference on,Barcelona,Spain,Nov 6-13,2011:2190-2197.

[11] Dollár P,Zitnick C L.Structured forests for fast edge detection[C]//Computer Vision (ICCV),2013 IEEE International Conference on,Sydney,Australia,Dec 3-5,2013:1841-1848.

[12] HE Kaiming,SUN Jian,TANG Xiaou.Guided Image Filtering[J].IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2013,35(6):1397-1409.

[13] Arbelaez P,Maire M,Fowlkes C,et al.Contour Detection and Hierarchical Image Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2011,33(5):898-916.

雷琴, 施朝健, 陈婷婷. 可见光海面目标检测的结构随机森林方法[J]. 光电工程, 2015, 42(7): 31. LEI Qin, SHI Chaojian, CHEN Tingting. Structured Random Forests for Target Detection in Sea Images[J]. Opto-Electronic Engineering, 2015, 42(7): 31.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!