Name
Abstract | ||
|---|---|---|
The optimization of polarimetric contrast enhancement (OPCE) is a widely used method for maximizing the received power ratio of a desired target versus an undesired target (clutter). In this letter, a new model of the OPCE is proposed based on the Fisher criterion. By introducing the well known two-class problem of linear discriminant analysis (LDA), the proposed model is to enlarge the normalized distance of mean value between the target and the clutter. In addition, a cross-iterative numerical method is proposed for solving the optimization with a quadratic constraint. Experimental results with the polarimetric SAR (POLSAR) data demonstrate the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1587/transcom.E92.B.3968 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
synthetic aperture radar (SAR), polarization, optimization of polarimetric contrast enhancement (OPCE), Fisher criterion, linear discriminant analysis (LDA) | Normalization (statistics),Synthetic aperture radar,Computer science,Artificial intelligence,Distributed computing,Computer vision,Iterative method,Clutter,Quadratic equation,Algorithm,Fisher information,Linear discriminant analysis,Numerical analysis | Journal |
Volume | Issue | ISSN |
E92B | 12 | 0916-8516 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiming Deng | 1 | 0 | 0.68 |
| Jiong Chen | 2 | 0 | 0.34 |
| Jian Yang | 3 | 483 | 64.80 |