基于尺度空间理论的舰船遥感图像特征提取技术  

Research on feature extraction of ship remote sensing image based on scale space theory

作　　者：王百勇[1] 张艳华[1] WANG Bai-yong;ZHANG Yan-hua(Shanxi Conservancy Technical Institute Mapping Engineering Department,Yuncheng 044000,China)

机构地区：[1]山西水利职业技术学院测绘工程系,山西运城044000

出　　处：《舰船科学技术》2021年第18期184-186,共3页Ship Science and Technology

基　　金：山西省教育科学规划基金项目(ZX-18171)

摘　　要：不论是军事作战领域还是民用领域,基于遥感技术的海上舰船目标探测技术都发挥着重要的作用,近年来,随着海上气象条件的恶化、反侦察技术和干扰技术的发展,舰船遥感图像的特征提取过程中噪声含量越来越多,提取难度也不断增加。针对这一问题,本文采用了一种基于尺度空间理论的舰船遥感图像特征提取技术,利用尺度空间高斯算法等改善了舰船遥感图像的特征提取精度,有重要的应用价值。Whether in the field of military operations or civil areas,ship target detection technology based on remote sensing technology plays an important role.In recent years,with the deterioration of maritime meteorological conditions,the development of anti reconnaissance technology and jamming technology,the noise content of ship remote sensing image feature extraction process is more and more,and the extraction difficulty is also increasing.In order to solve this problem,this paper adopts a feature extraction technology of ship remote sensing image based on scale space theory,and uses scale space Gaussian algorithm to improve the feature extraction accuracy of ship remote sensing image,which has important application value.

关 键 词：遥感图像 尺度空间 高斯算法 灰度理论 

分 类 号：U627.1[交通运输工程—船舶及航道工程]