Abstract
The biggest problem for automatic target recognition is the accurate and efficient extraction of features from -synthetic aperture radar (SAR) images. A new SAR image formation algorithm, which is recognition oriented is developed. The algorithm is based on a tomographic projection model of SAR observation, using vector-entropy optimization approach to reconstruct SAR images from projections. It provides images with higher resolution of scatters and better separate ability of different regions than traditional algorithms. We applied it on both synthetic SAR scenes and the data from MIT Lincoln Laboratory ADTS dataset to show the validity of the algorithm.
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