Name
Abstract | ||
|---|---|---|
In this paper a method for automatic detection of built-up areas in high-resolution polarimetric SAR images is presented. A feature-based approach was used. Most of the features are based on statistical properties of built-up areas in SAR images. One feature is based on the isotropic spatial distribution of small uniform regions within built-up areas. Introducing this feature allows one to avoid false alarms due to the presence of edges. The features are fused using logistic regression. Results of applying the method on an L-Band fully polarised SAR image with a spatial resolution of 1.5 m are shown. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0167-8655(02)00055-7 | Pattern Recognition Letters |
Keywords | Field | DocType |
Detection of agglomerations,Built-up areas,Logistic regression,Polarimetric SAR | Computer vision,Isotropy,Pattern recognition,Polarimetric sar,Artificial intelligence,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 9 | 0167-8655 |
Citations | PageRank | References |
3 | 0.50 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dirk Borghys | 1 | 43 | 6.07 |
| C. Perneel | 2 | 45 | 4.55 |
| M Acheroy | 3 | 112 | 9.37 |