Name
Abstract | ||
|---|---|---|
In this paper, we present a system for aircraft automatic target recognition (ATR) using Inverse Synthetic Aperture Radar (ISAR) and based on Knowledge discovery from data process adapted to radar domain We propose a method for target shape extraction from ISAR images based on the combination of two methods, SUSAN modified and active deformable contours via level set. In the second part of this work, We propose to fuse two commonly used shape descriptors algorithms based on moments Invariant and Fourier descriptors We have investigated the impact of the information fusion on the recognition rate. The classification scheme is ensured using support vector machine (SVM) classifier. Several combination strategies are compared at score/decision/feature level. Experimental results of the proposed method are provided and discussed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5417469 | IGARSS |
Keywords | Field | DocType |
electrical engineering computing,feature extraction,military aircraft,military radar,object recognition,pattern classification,radar imaging,sensor fusion,support vector machines,synthetic aperture radar,Fourier descriptors,ISAR images,SUSAN modified contour operator,active deformable contours,aircraft automatic target recognition model,data processing,information fusion,inverse synthetic aperture radar imaging,knowledge discovery,moments invariant descriptors,shape descriptors algorithms,support vector machine classifier,target shape extraction,Automatic target recognition,Classification,Information fusion,Inverse synthetic aperture radar,shapes extraction | Computer science,Synthetic aperture radar,Remote sensing,Artificial intelligence,Radar,Computer vision,Radar imaging,Pattern recognition,Automatic target recognition,Support vector machine,Inverse synthetic aperture radar,Sensor fusion,Feature extraction | Conference |
Volume | ISSN | Citations |
4 | 2153-6996 | 3 |
PageRank | References | Authors |
0.50 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Nabil Saidi | 1 | 16 | 4.78 |
| Khalid Daoudi | 2 | 145 | 23.68 |
| ali khenchaf | 3 | 98 | 30.12 |
| Brigitte Hoeltzener | 4 | 28 | 3.19 |
| Driss Aboutajdine | 5 | 589 | 88.82 |