The real-time performance of ship detection is an important index in the marine remote
sensing detection task. Due to the computing resources on the satellite being limited by the …

We propose a decision fusion method of Sparse Representation (SR) and Support Vector
Machine (SVM) for Synthetic Aperture Radar (SAR) image target recognition in this paper …

The exploitation of multi-view synthetic aperture radar (SAR) images can effectively improve
the performance of target recognition. However, due to the various extended operating …

Multiview synthetic aperture radar (SAR) images contain much richer information for
automatic target recognition (ATR) than a single-view one. It is desirable to establish a …

Two fusion strategies for target recognition using multi-aspect synthetic aperture radar (SAR)
images are presented for recognizing ground vehicles in MSTAR database. Due to radar …

In this study, three decision fusion strategies in synthetic aperture radar (SAR) image target
recognition for classification of ground vehicles in the Moving and Stationary Target …

Multi-aspect synthetic aperture radar (SAR) images contain more information available for
automatic target recognition (ATR) than images from a single view. However, the sensitivity …

A new multi-view sparse representation classification (SRC) algorithm based on joint
supervised dictionary and classifier learning (MSRC-JSDC) is proposed for synthetic …

To handle synthetic aperture radar (SAR) image target recognition problem, a multi-view
method is proposed. For the multi-view SAR images be recognized, they are first clustered …

For the synthetic aperture radar (SAR) automatic target recognition problem, we propose a
multiview method based on adaptive decision fusion. Considering the possible …