𝔖 Bobbio Scriptorium
✦   LIBER   ✦

SAR imaging using multidimensional continuous wavelet transform and applications to polarimetry and interferometry

✍ Scribed by E. Colin; M. Tria; C. Titin-Schnaider; J.P. Ovarlez; M. Benidir


Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
760 KB
Volume
14
Category
Article
ISSN
0899-9457

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Usual SAR imaging process makes the assumption that the reflectors are isotropic and white (i.e., they behave in the same way regardless the angle from which they are viewed and the emitted frequency within the bandwidth). The multidimensional continuous wavelet transform (CWT) in radar imaging was initially developed to highlight the image degradations due to these assumptions. In this article the wavelet transform method is widened to polarimetry and interferometry fields. The wavelet tool is first used for polarimetric image enhancement, then for coherence optimization in interferometry. This optimization by wavelets, compared with the polarimetric one, gives better results on the coherence level. Finally, a combination of both methods is proposed. Β© 2005 Wiley Periodicals Inc. Int J Imaging Syst Technol, 14, 206–212, 2004; Published online in Wiley Inter‐Science (www.interscience.wiley.com). DOI 10.1002/ima.20025


πŸ“œ SIMILAR VOLUMES


NATURAL FREQUENCIES AND DAMPINGS IDENTIF
✍ M. Ruzzene; A. Fasana; L. Garibaldi; B. Piombo πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 309 KB

The wavelet transform is used as a time-frequency representation for system identification purposes. It is shown that wavelet analysis of the free response of a system allows the estimation of the natural frequencies and viscous damping ratios. The advantages of the wavelet transform in the analysis

Lactate editing and lipid suppression by
✍ HacΓ¨ne Serrai; Lydie Nadal-Desbarats; Harish Poptani; Jerry D. Glickson; Lotfi S πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 160 KB

Determination of lactate concentrations in vivo is required in the noninvasive diagnosis, staging, and therapeutic monitoring of diseases such as cancer, heart disease, and stroke. An iterative filtering process based on the continuous wavelet transform (CWT) method in the time domain is proposed to