Name
Abstract | ||
|---|---|---|
The wavelet transform has become a very popular tool in signal and image processing. Over the last few years, several authors have proposed wavelet-based filters for speckle reduction in SAR* images, and the results are generally reported to be superior to those obtained with traditional statistical speckle filters. In this paper we give a thorough experimental comparison of representative filters from both categories. We show that spatially adaptive statistical filters yield better noise reduction and preservation of structures than wavelet-based methods, but that the latter have certain advantages compared to statistical filters which are not spatially adaptive. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1117/12.331361 | SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES |
Keywords | Field | DocType |
speckle reduction, wavelets, filters, SAR | Noise reduction,Computer vision,Optical engineering,Speckle pattern,Synthetic aperture radar,Image processing,Artificial intelligence,Adaptive filter,Geology,Wavelet transform,Wavelet | Conference |
Volume | ISSN | Citations |
3497 | 0277-786X | 17 |
PageRank | References | Authors |
2.59 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Hervet | 1 | 17 | 2.59 |
| R. Fjortoft | 2 | 234 | 27.36 |
| P. Marthon | 3 | 104 | 10.70 |
| Armand Lopes | 4 | 63 | 11.79 |