Name
Abstract | ||
|---|---|---|
Edge detection is a fundamental issue in image analysis.Due to the presence of speckle, which can be modelled asa strong multiplicative noise, edge detection in SyntheticAperture Radar (SAR) images is very difficult and methodsdeveloped for optical images are inefficient. We herepropose a new edge detector for SAR images which is optimumin the MSSE sense for a stochastic multiedge model.It computes a normalized Ratio Of Exponentially WeightedAverages (ROEWA) on opposite sides of the... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICASSP.1997.595361 | ICASSP |
Keywords | Field | DocType |
multiedge detection,sar images,vertical direction,noise,optical imaging,radar imaging,thresholding,synthetic aperture radar,detectors,image analysis,adaptive optics,multiplicative noise,stochastic resonance,edge detection,laser radar,speckle | Computer vision,Radar imaging,Speckle pattern,Synthetic aperture radar,Computer science,Edge detection,Pixel,Artificial intelligence,Thresholding,Stochastic resonance,Multiplicative noise | Conference |
ISBN | Citations | PageRank |
0-8186-7919-0 | 1 | 0.37 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Fjortoft | 1 | 234 | 27.36 |
| P. Marthon | 2 | 104 | 10.70 |
| A. Lopes | 3 | 344 | 66.60 |
| E. Cubero-Castan | 4 | 79 | 6.81 |