Name
Abstract | ||
|---|---|---|
This paper introduces an Automatic Target Recognition (ATR) method based on X Band Radar image processing. A software which implements this method was developed following four principal stages: digital image formation, image preprocessing, feature selection through a combination of C4.5 Decision Tree and PCA and classification using SVM. The automatic process was validated using two images sets, one of them containing real images with natural noise levels and the other with different degrees of impulsive noise contamination. The method achieves a very nice computation behavior and effectiveness, high accuracy and robustness in noise environments with a low storage memory and high decision speed. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11892755_100 | CIARP |
Keywords | Field | DocType |
image processing,decision tree,radar imaging,feature selection,automatic target recognition,digital image,impulse noise | Decision tree,Computer vision,Radar imaging,Feature selection,Pattern recognition,Automatic target recognition,Computer science,Support vector machine,Image processing,Digital image,Artificial intelligence,Real image | Conference |
Volume | ISSN | ISBN |
4225 | 0302-9743 | 3-540-46556-1 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noslen Hernández | 1 | 7 | 4.57 |
| José Rodríguez | 2 | 3 | 1.11 |
| Jorge A. Martin | 3 | 0 | 0.34 |
| Francisco Silva-Mata | 4 | 3 | 1.47 |
| Ricardo González-Gazapo | 5 | 0 | 0.34 |
| Raúl Álvarez | 6 | 0 | 0.34 |