光学技术, 2017, 43 (5): 445, 网络出版: 2017-11-07  

二值化特征在快速舰船目标预选中的应用

Improved binarized normed gradients for fast ship target pre-detection
作者单位
南京航空航天大学 航天学院, 南京 210016
引用该论文

黄伟, 严小乐, 沈秋, 李再升, 董克松, 顾逸佳. 二值化特征在快速舰船目标预选中的应用[J]. 光学技术, 2017, 43(5): 445.

HUANG Wei, YAN Xiaole, SHEN Qiu, LI Zaisheng, DONG Kesong, GU Yijia. Improved binarized normed gradients for fast ship target pre-detection[J]. Optical Technique, 2017, 43(5): 445.

参考文献

[1] 王彦情, 马雷, 田原.光学遥感图像舰船目标检测与识别综述[J].自动化学报, 2011, 37(9): 1029-1039.

    WANG Yanqing, MA Lei, TIAN Yuan. State-of-the-art of ship detection and recognition in optical remotely sensed imagery[J]. Journal of Automatica Sinica, 2011, 37(9): 1029-1039.

[2] 蒋李兵. 基于高分辨光学遥感图像的舰船目标检测方法研究[D].长沙: 国防科学技术大学, 2006.

    JIANG Libing. Research on the ship target detection in high spatial resolution optical remote sensing image[D]. Changsha: National University of Defense Technology, 2006.

[3] 周志远. 基于光学遥感图像的海面舰船目标识别技术研究[D]. 北京: 中国科学院研究生院, 2012.

    ZHOU Zhiyuan. Research of the ship target recognition technology based on optical remote sensing image[D]. Beijing:Graduate University of Chinese Academy of Sciences,2012.

[4] 唐沐恩, 林挺强, 文贡坚.遥感图像中舰船检测方法综述[J].计算机应用研究, 2011, 28(1): 29-36.

    TANG Muen, LIN Tingqiang, WEN Gongjian. Overview of ship detection methods in remote sensing image[J]. Application Research of Computers, 2011, 28(1):29-36.

[5] 高立宁, 毕福昆, 龙腾,等.一种光学遥感图像海面舰船检测算法[J].北京: 清华大学学报, 2011, 51(1): 105-110.

    GAO Lining, BI Fukun, LONG Teng, et al. Ship detection algorithm for optical remote sensing images[J]. Journal of Tsinghua University, 2011, 51(1):105-110.

[6] 郭明玮.基于视觉记忆的目标检测算法: 一个特征学习与特征联想的过程[D].合肥: 中国科学技术大学, 2014.

    GUO Mingyi. Object detection algorithm based on visual memory: a feature learning and feature imagination process[D]. Hefei:University of Science and Technology of China,2014.

[7] 郭明玮, 赵宇宙, 项俊平,等. 基于支持向量机的目标检测算法综述[J].控制与决策, 2014, 29(2): 193-200.

    GUO Mingyi, ZHAO Yuzhou, XIANG Junping, et al. Review of object detection methods based on SVM[J]. Control and Decision, , 2014, 29(2):193-200.

[8] 裴巧娜. 基于光流法的运动目标检测与跟踪技术[D]. 北京: 北方工业大学, 2009.

    PEI Qiaona. Moving objects detection and tracking techniques based optical flow[D]. Beijing: North China University of Technology,2009.

[9] OLSHAUSEN B A, FIELD D J. Sparse coding with an over complete basis set: A strategy employed by V1[J]. Vision Research,1997,37(23):3311-3325.

[10] CHENG M M, ZHANG Z, LIN W Y, et al. BING: binarized normed gradients for objectness estimation at 300fps[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, USA, Piscataway, NJ, USA: IEEE, 2014: 3286-3293.

[11] ALEXE B, DESELAERS T, FERRARI V. Measuring the objectness of image windows[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012,34(11).

[12] FORSYTH D A, MALIK J, FLECK M M, et al. Finding pictures of objects in large collections of images[C]∥European Conference on Computer Vision, Springer, Berlin, Heidelberg,1996.

[13] FAN R E,CHANG K W, HSIEH C J, et al. Liblinear: A library for large linear classification[J]. Journal of Machine Learning Research, 2008,(9):1871-1874.

[14] Zhang Z, WARRELL J, TORR P H S. Proposal generation for object detection using cascaded ranking svms[C]∥In CVPR, 2011 IEEE Conference on. IEEE, 2011:1497-1504.

[15] CARREIRA J, SMINCHISESCU C. Cpmc: Automatic object segmentation using constrained parametric min-cuts[J]. IEEE TPAMI, 2012, 34(7):1312-1328.

黄伟, 严小乐, 沈秋, 李再升, 董克松, 顾逸佳. 二值化特征在快速舰船目标预选中的应用[J]. 光学技术, 2017, 43(5): 445. HUANG Wei, YAN Xiaole, SHEN Qiu, LI Zaisheng, DONG Kesong, GU Yijia. Improved binarized normed gradients for fast ship target pre-detection[J]. Optical Technique, 2017, 43(5): 445.

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!