Name
Title | ||
|---|---|---|
Dempster–Shafer Fusion of Multiple Sparse Representation and Statistical Property for SAR Target Configuration Recognition |
Abstract | ||
|---|---|---|
Due to the characteristic of the synthetic aperture radar (SAR) image's sensitivity to the target aspect angles, a multiple sparse representation (MSR) method for SAR target configuration recognition is proposed. Making use of the prior information, dictionaries are constructed by using the samples of each configuration to better capture the detail information of the SAR images. The advantage of MSR over sparse representation for detail feature extraction is analyzed. Moreover, to achieve better recognition results, the Dempster-Shafer fusion is carried out to get comprehensive description of the target for configuration recognition. Two mass functions are constructed based on MSR and the sample statistical property. The combined mass function has the advantages of both the detail and global features of the target. Experiments on the moving and stationary target acquisition and recognition data sets validate the effectiveness and superiority of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LGRS.2013.2287295 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
sample statistical property,synthetic aperture radar,dempster??shafer fusion,multiple sparse representation,sar target configuration recognition,radar target recognition,sar image sensitivity,synthetic aperture radar (sar) target configuration recognition,multiple sparse representation (msr),dempster–shafer fusion,recognition data sets,dempster-shafer fusion,msr method,radar imaging,stationary target acquisition,testing,dictionaries,image reconstruction,vectors | Target acquisition,Synthetic aperture radar,Remote sensing,Artificial intelligence,Computer vision,Radar imaging,Pattern recognition,Automatic target recognition,Sparse approximation,Inverse synthetic aperture radar,Feature extraction,Dempster–Shafer theory,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 6 | 1545-598X |
Citations | PageRank | References |
11 | 0.61 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Liu | 1 | 775 | 94.83 |
| Yan Wu | 2 | 226 | 27.81 |
| Wei Zhao | 3 | 3532 | 404.01 |
| Qiang Zhang | 4 | 423 | 59.35 |
| Ming Li | 5 | 5595 | 829.00 |
| Guisheng Liao | 6 | 996 | 126.36 |