Name
Abstract | ||
|---|---|---|
Synthetic Aperture Radar (SAR) is a useful coherent imaging tool for extracting information from various fields such as astronomy and meteorology. SAR images are often corrupted by granular noise known as speckle which follows a multiplicative model. Speckle reflection in homogenous as well as heterogeneous areas obscures the contrast between the target-of-interest and its surroundings. This paper proposes a modified Non Linear Diffusion Approach for despeckling SAR images. The essence is to develop an approach that can suppress speckle and preserve the structural content as an improvement over conventional anisotropic diffusion filtering. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-981-10-3156-4_35 | PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS, (FICTA 2016), VOL 2 |
Keywords | DocType | Volume |
Non linear diffusion,Despeckling,Homogenous areas | Conference | 516 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vikrant Bhateja | 1 | 107 | 13.48 |
| Aditi Sharma | 2 | 0 | 0.34 |
| Abhishek Tripathi | 3 | 60 | 6.35 |
| Suresh Chandra Satapathy | 4 | 224 | 31.09 |