NSSC OpenIR  > 其他部室
基于背景粗糙度估计的红外目标检测算法
Alternative TitleA Fast Background Roughness2based Infrared NavelVessel Target Detection Algorithm
娄越; 相里斌; 刘波; 北京8701信箱
Department火箭与气球探空技术研究室
Source Publication光子学报
2007
Volume36Issue:9Pages:1759-1763
ISSN1004-4213
Language中文
Keyword小目标检测 log算子 背景粗糙度 区域生长 红外图像处理
Abstract在分析海天背景下目标红外图像特征的基础上,提出了一种基于背景粗糙度估计的红外目标自适应检测算法.该算法利用LOG算子进行目标基本轮廓检测,将目标的中心点作为区域生长的种子点,通过背景粗糙度估计自适应确定LOG算子参量,完成目标图像分割.与传统检测方法比较,采用该处理方法进行小目标检测及识别过程的预处理,可以有效地减少运算量,提高检测速度,抑制对不必要的种子点进行区域生长,提高了目标的检测概率.
Other AbstractBased on the characteristic analysis of inf rared naval vessel target under t he sea-sky background ,a new type of adaptive inf rared small target detection method is developed ,which uses the LO Goperator to detect the outline of t he target and t hen decide it s center point as the seed point in the region growing procedure.In t he proposed target image segmentation app roach ,the parameter s of t he LOG operator are adaptively determined using the roughness estimation of t he background.Compared wit h t he t raditional detection met hod ,this procedure is the effective met hod for small target detection and recognition ,and it can reduce t he comp utation requirement ,improve the detection speed ,rest rain the unnecessary seed point sinregion growing p rocess ,and increase t he possibility of target detection.
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/1671
Collection其他部室
Corresponding Author北京8701信箱
Recommended Citation
GB/T 7714
娄越,相里斌,刘波,等. 基于背景粗糙度估计的红外目标检测算法[J]. 光子学报,2007,36(9):1759-1763.
APA 娄越,相里斌,刘波,&北京8701信箱.(2007).基于背景粗糙度估计的红外目标检测算法.光子学报,36(9),1759-1763.
MLA 娄越,et al."基于背景粗糙度估计的红外目标检测算法".光子学报 36.9(2007):1759-1763.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[娄越]'s Articles
[相里斌]'s Articles
[刘波]'s Articles
Baidu academic
Similar articles in Baidu academic
[娄越]'s Articles
[相里斌]'s Articles
[刘波]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[娄越]'s Articles
[相里斌]'s Articles
[刘波]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.