Name
Abstract | ||
|---|---|---|
A new method derived from the Frost filter kernel for SAR (synthetic aperture radar) image speckle reduction is introduced. In the speckle reduction procedure, both the statistical information of the central pixel in the filter window and that of the neighborhood pixels are used. The experimental results on ERS-1 PRI images demonstrate the efficiency of the proposed method compared to other common filters. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1027212 | IGARSS |
Keywords | Field | DocType |
synthetic aperture radar,ers-1 pri images,remote sensing by radar,central pixel,digital filters,precision image,filter window,frost filter kernel,statistical information,spaceborne radar,radar imaging,image speckle reduction method,sar images,adaptive filters,kernel,image restoration,speckle,image resolution,pixel,noise reduction | Computer vision,Radar imaging,Speckle pattern,Computer science,Synthetic aperture radar,Remote sensing,Pixel,Adaptive filter,Kernel adaptive filter,Artificial intelligence,Speckle noise,Image resolution | Conference |
Volume | Issue | ISSN |
6 | null | null |
ISBN | Citations | PageRank |
0-7803-7536-X | 2 | 0.64 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaohui Zhang | 1 | 5 | 7.22 |
| Véronique Prinet | 2 | 160 | 20.66 |
| Songde Ma | 3 | 2 | 0.98 |