Sar Image Target Recognition Method Based On Sparse Representation Of Local Dictionary

Abstract

Abstract Target segments of the Synthetic Aperture Radar (SAR) images are often of SAR images used as one of the challenge the procedure of SAR target recognition interpretation. Segmentation of the object, and then be separated from the target in order to eliminate the background noise or background clutter. However, segmentation may be discarded, and the shadow of the object where the target characteristic further comprises a portion of the difference between object recognition information. Thus, the proposed automatic detection and identification of target SAR image-based approach Sparse Representation Local Dictionary. (SRLD) Using the Model to target detection and recognition experiments to get moving and stationary targets, and identify baseline data set, verify the SAR image recognition field goal deep neural networks effectiveness.