期刊文献+

SAR图像提高分辨率的主要方法间的联系 被引量:1

RELATIONSHIP OF TYPICAL METHODS FOR IMPROVING RESOLUTION OF SAR IMAGE
下载PDF
导出
摘要 SAR图像提高分辨率的几种典型方法有谱估计、正则化、基追踪及偏微分方程方法.讨论这几种方法之间的联系,为其综合应用提供参考.首先,揭示不同方法在先验信息利用、建模及参数估计等方面的异同.其次,给出不同方法使用的边界条件和工程应用过程中的优选方法.最后,给出了几种综合模型的构造思路,计算结果验证了综合方法的优势. There are several typical methods for SAR image superresolution, such as spectrum estimation, regularization, basis pursuit and partial differential equation methods. The relationship of these methods was discussed to provide reference for their synthetic application. First, the sameness and difference of different methods in prior utilizing, problem modeling, and parameters estimating were discussed. Second, the application bound of each method and the selection of methods in engineering application was given. Last, several thoughts for synthetic model were given. The simulation results confirm the merit of synthetic method.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2008年第1期77-80,共4页 Journal of Infrared and Millimeter Waves
基金 国家自然科学基金项目(60572136)
关键词 SAR 超分辨率 关系 综合应用 SAR superresolution relationship synthetic application
  • 相关文献

参考文献7

二级参考文献42

共引文献30

同被引文献15

  • 1张绘,张弓,郭琦南.基于Contourlet域SOT结构的SAR图像相干斑抑制算法[J].南京航空航天大学学报,2006,38(6):743-748. 被引量:2
  • 2赵侠,王正明.SAR图像相干斑抑制和特征增强的自适应正则化变分方法[J].红外与毫米波学报,2007,26(2):112-116. 被引量:7
  • 3Oliver C, Quegan S. Understanding Synthetic Aperture Radar Images [ M ]. MA : Artech House, 1998.
  • 4Lee J S. Digital image enhancement and noise filtering by use of local statistics [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980, PAMI-20 : 165- 168.
  • 5Kuan D T, Sawchuk A A. Adaptive noise smoothing filter for signal-dependent noise[ J ]. IEEE Transactions on Pattern, Analysis and Machine Intelligence, 1985,7 ( 2 ) : 165- 177.
  • 6Lopes A, Nezry E, Touzi R. Maximum a posteriori speckle filtering and first order texture model in SAR images [ C ]. In : Proc. IGARSS' 90,1990:2409-2412.
  • 7Sveinsson J R, Benediktsson J A. Speckle reduction and enhancement of SAR images in the wavelet domain [ C ]. In: Proc. IGARSS'96,1996:63-66.
  • 8Argenti F, Alparone L. Speckle removal from SAR images in the undecirnated wavelet domain [ J ]. IEEE Transactions on Geoscience and Remote Sensing,2002,40( 11 ) :2363-2374.
  • 9Katkovnik V, Egiazarian K, Astola J. Adaptive window size image de-noising based on intersection of confidence intervals (ICI) rule [ J ]. J. of Math. Imaging and Vision,2002,16 ( 3 ) :223-235.
  • 10Li Shi-Peng, Li Wei-Ping. Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding [ J ]. IEEE Transactions on Circuits and Systems for Video Technology, 2000,10 (5) : 725-743.

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部