Name
Title | ||
|---|---|---|
A Two-Phase Algorithm Based on Kurtosis Curvelet Energy and Unsupervised Spectral Regression for Segmentation of SAR Images. |
Abstract | ||
|---|---|---|
Texture-based segmentation of synthetic aperture radar (SAR) image is a difficult task in remote sensing applications because it must address the problem of speckle noise. Several methods have been proposed for this purpose based on clustering, but suffer from long run times, computational complexity, and high-memory consumption. The proposed technique consists of two phases for SAR image segmenta... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2015.2492552 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Synthetic aperture radar,Image segmentation,Wavelet transforms,Speckle,Image edge detection | Scale-space segmentation,Synthetic aperture radar,Remote sensing,Segmentation-based object categorization,Gabor filter,Image segmentation,Artificial intelligence,Computer vision,Pattern recognition,Image texture,Algorithm,Feature extraction,Mathematics,Curvelet | Journal |
Volume | Issue | ISSN |
9 | 3 | 1939-1404 |
Citations | PageRank | References |
2 | 0.39 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeinab Tirandaz | 1 | 2 | 0.39 |
| Gholamreza Akbarizadeh | 2 | 51 | 6.19 |