Article

A feature extraction method for synthetic aperture radar (SAR) automatic target recognition based on maximum interclass distance

Science China Technological Sciences (impact factor: 0.75). 04/2012; 54(9):2520-2524. DOI:10.1007/s11431-011-4430-0 pp.2520-2524

ABSTRACT Synthetic aperture radar (SAR) automatic target recognition is an important application in SAR. How to extract features has
restricted the application of SAR technology seriously. In this paper, a new feature extraction method for SAR automatic target
recognition based on maximum interclass distance is proposed, which integrates class and neighborhood information. This method
can reinforce discriminative power using maximum interclass distance, so it can improve recognition rate effectively.

Keywordssynthetic aperture radar (SAR)–automatic target recognition (ATR)–manifold learning–feature extraction

0 0
 · 
1 Bookmark
 · 
57 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

ATR)–manifold learning–feature extraction
 
discriminative power
 
features
 
Keywordssynthetic aperture radar
 
maximum interclass distance
 
neighborhood information
 
new feature extraction method
 
recognition rate
 
SAR)–automatic target recognition
 

Bing Wang