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舰船目标图像特征识别系统研究
Research on the ship target image feature recognition system
- DOI:
- 作者:
- 周书强, 耿瑞焕
ZHOU Shu-qiang, GENG Rui-huan
- 作者单位:
- 河南理工大学 鹤壁工程技术学院，河南 鹤壁 458030
Hebi Institute of Engineering and Technology, Henan Polytechnic University, Hebi 458030, China
- 关键词:
- 舰船目标;遥感图像;小波变换;视觉显著性;FPGA
ship target; remote sensing image; wavelet transform; visual salience; FPGA
- 摘要:
- 海上遥感图像的目标探测与特征提取是一项非常重要的技术，特别是近年来光学探测仪器、计算机处理器等获得了迅速发展，使遥感技术的应用能力不断提升。本文分别从小波变换的遥感图像前处理、基于视觉显著性的船舶目标候选区域提取以及基于FPGA的舰船目标图像特征识别系统搭建等方面进行详细研究，对于改善当前海上舰船遥感技术的应用质量有一定意义。
The object detection and feature extraction of sea remote sensing image is a very important technology, especially in recent years, optical detection instruments, computer processors and other technologies have achieved rapid development, so that the application ability of remote sensing technology has been continuously improved. In this paper, the preprocessing of remote sensing image from small wave transformation, ship target candidate area extraction based on visual significance and the construction of ship target image feature recognition system based on FPGA, which is of great significance for improving the application quality of current marine ship remote sensing technology.
2023,45(5): 182-185 收稿日期：2022-09-21
DOI：10.3404/j.issn.1672-7649.2023.05.036
分类号：U600.15
作者简介：周书强(1987-),男,硕士,讲师,主要从事系统开发及程序设计研究
