Name
Abstract | ||
|---|---|---|
The purpose of this study is to investigate Synthetic Aperture Radar (SAR) image segmentation into a given but arbitrary number of gamma homogeneous regions via active contours and level sets. The segmentation of SAR images is a difficult problem due to the presence of speckle which can be modeled as strong, multiplicative noise. The proposed algorithm consists of evolving simple closed planar curves within an explicit correspondence between the interiors of curves and regions of segmentation to minimize a criterion containing a term of conformity of data to a speckle model of noise and a term of regularization. Results are shown on both synthetic and real images. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TPAMI.2005.106 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
level set,urban planning,statistical modeling,radar imaging,synthetic aperture radar,active contour,geology,cluster analysis,image segmentation,artificial intelligence,indexing terms,level sets,multiplicative noise,statistical analysis,statistical model,radar,speckle,agriculture,computer simulation,algorithms | Active contour model,Radar,Computer vision,Radar imaging,Pattern recognition,Speckle pattern,Computer science,Synthetic aperture radar,Image segmentation,Artificial intelligence,Real image,Multiplicative noise | Journal |
Volume | Issue | ISSN |
27 | 5 | 0162-8828 |
Citations | PageRank | References |
75 | 3.36 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ismail Ben Ayed | 1 | 678 | 52.28 |
| Amar Mitiche | 2 | 878 | 129.19 |
| Ziad Belhadj | 3 | 125 | 10.56 |