EconPapers    
Economics at your fingertips  
 

Wavelet and Karhunen Loève transformations applied to SAR signals and images

C.F. Caiafa, M.P. Sassano and A.N. Proto

Physica A: Statistical Mechanics and its Applications, 2005, vol. 356, issue 1, 172-177

Abstract: We developed two new tools to deal with synthetic aperture radar (SAR) images, based on two different and powerful mathematical formalism: wavelets (WT) and Karhunen Loève transforms (KLT). WT are used to remove the undesirable speckle, which comes from the specific measurement process of SAR systems, and KLT for the co-registration of SAR images.

Keywords: Image forming and processing; Speckle removal; Pattern recognition (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105004747
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:356:y:2005:i:1:p:172-177

DOI: 10.1016/j.physa.2005.05.032

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:356:y:2005:i:1:p:172-177