特征提取技术是计算机视觉以及图像处理领域的一个研究热点,在各领域都取得了较为显著的应用成效。本文从舰船图像轮廓特征提取入手,通过正交化各类投影子空间,设计出一个舰船图像轮廓特征的二元损失函数,不断优化识别检测算法,验证本次基于子空间投影的舰船图像轮廓特征提取方法的分类性能与泛化能力。
Object detection technology is a research hotspot in the fields of computer vision and image processing, with rapid development in both theoretical research and practical applications, and has achieved significant application results in various fields. Therefore, this paper will try to start with the extraction of ship image contour features, design a binary loss function of ship image contour features by orthogonalization various projection spaces, constantly optimize the recognition and detection algorithm, and verify the classification performance and generalization ability of this ship image contour feature extraction method based on subspace projection.
2023,45(11): 167-170 收稿日期:2023-01-13
DOI:10.3404/j.issn.1672-7619.2023.11.035
分类号:TPT51
基金项目:河南省社会科学界联合会调研课题资助项目(SKL-2021-1446)
作者简介:周洋(1989-),女,讲师,研究方向为偏微分方程
参考文献:
[1] 卢鹏, 曹阳, 邹国良, 等. 改进Shufflenetv2_YOLOv5的轻量级SAR图像舰船目标实时检测[J]. 海洋测绘, 2023, 43(1): 58–62+82
LU Peng, CAO Yang, ZOU Guo-liang, et al. Improved Shufflenetv2_YOLOv5 for real-time detection of ship targets in lightweight SAR images[J]. Marine Surveying and Mapping, 2023, 43(1): 58–62+82
[2] 赵炜东, 郭鹏宇, 刘勇, 等. 基于可见光与红外卫星图像融合的舰船目标检测[J]. 上海航天(中英文), 2023, 40(1): 44–52
ZHAO Wei-dong, GUO Peng-yu, LIU Yong, et al. Ship target detection based on fusion of visible light and infrared satellite images[J]. Shanghai Aerospace, 2023, 40(1): 44–52
[3] 李海军, 孔繁程, 魏嘉彧, 等. 基于直觉模糊集和CLAHE红外舰船图像增强算法[J]. 兵器装备工程学报, 2022, 43(11): 88–94
LI Hai-jun, KONG Fan-cheng, WEI Jia-yu, et al. Infrared ship image enhancement algorithm based on intuitionistic fuzzy sets and CLAHE[J]. Journal of Ordnance Equipment Engineering, 2022, 43(11): 88–94
[4] 赵紫稷. 面向合成孔径雷达图像任意方向舰船检测的YOLOv3模型的改进[J]. 无线互联科技, 2022, 19(19): 111–113
ZHAO Zi-ji. Improvement of YOLOv3 model for ship detection in any direction of synthetic aperture radar image[J]. Wireless Internet Technology, 2022, 19(19): 111–113
[5] 周旗开, 张伟, 李东锦, 等. 基于改进YOLOv5s的光学遥感图像舰船分类检测方法[J]. 激光与光电子学进展, 2022, 59(16): 476–483
ZHOU Qi-kai, ZHANG Wei, LI Dong-jin, et al. Ship classification and detection method based on improved YOLOv5s in optical remote sensing image[J]. Progress in Laser and Optoelectronics, 2022, 59(16): 476–483