NSSC OpenIR  > 微波遥感部
基于总变分正则化算法的散射计图像重构
Alternative TitleScatterometer Image Reconstruction Using Total Variation Regularization
王倩; 董晓龙
Department微波遥感部
Source Publication电子与信息学报
2014
Volume36Issue:9Pages:2244-2250
ISSN1009-5896
Language中文
Keyword散射计 图像重构 总变分正则化
Abstract目前业务化运行的星载散射计分辨率一般为25 km,在分辨率需求较高的应用中(如极地海冰监测、热带雨林监测、近岸风场研究等)受到了限制。散射计图像重构技术可以在不改变系统硬件的前提下,通过数据处理方法的改进,提高分辨率。现有的散射计图像重构方法(SIR)是基于图像处理领域中较早期的乘性代数重建技术(MART)。该文针对星载扇形旋转扫描散射计,将一种新的图像重构方法总变分正则化(total variation regularization)算法应用于散射计图像重构,并通过仿真实验说明,新算法可以在增强分辨率的同时减少噪声,提高重构图像的质量。
Other AbstractThe spaceborne scatterometers which are in operation with a general resolution of 25km are already challenged by the higher resolution requirement in some applications, such as polar ice mapping, rainforest mapping and the research of coastal wind. The scatterometer image reconstruction technology can improve the resolution through the data processing method without necessarily changing the system hardwares. The Scatterometer Image Reconstruction (SIR) algorithm that are being used currently is based on an earlier algorithm called Multiplicative Algebraic Reconstruction Technique (MART). In this paper, a new image reconstruction method is applied to the scatterometer image reconstruction for the rotating fan-beam spaceborne scatterometer called the total variation regularization. The simulation experiments show that the new method can improve the quality of the reconstructed image through both resolution enhancement and noise reduction at the same time.
Indexed ByEI ; CSCD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4535
Collection微波遥感部
Recommended Citation
GB/T 7714
王倩,董晓龙. 基于总变分正则化算法的散射计图像重构[J]. 电子与信息学报,2014,36(9):2244-2250.
APA 王倩,&董晓龙.(2014).基于总变分正则化算法的散射计图像重构.电子与信息学报,36(9),2244-2250.
MLA 王倩,et al."基于总变分正则化算法的散射计图像重构".电子与信息学报 36.9(2014):2244-2250.
Files in This Item: Download All
File Name/Size DocType Version Access License
20143692244.pdf(354KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[王倩]'s Articles
[董晓龙]'s Articles
Baidu academic
Similar articles in Baidu academic
[王倩]'s Articles
[董晓龙]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[王倩]'s Articles
[董晓龙]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 20143692244.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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