Abstract
Synchronous Aperture Radar (SAR) images can be acquired by different microwave imaging modes, systems, etc. For the recognition detection of SAR images of heterogeneous small samples(ie a small number of samples),this paper proposes a transfer-based Convolutional Neural Network (CNN) small samples SAR images ground object recognition detection method.First of all,the source domain sufficient samples were used to pre-train CNN,and then CNN was fine-tuned by using the transfer of small samples of the target domain SAR images to obtain a new CNN.The network finally realizes ground object recognition detection of small samples SAR images.The effectiveness and accuracy of the proposed method are verified by experiments,and good results can be obtained.
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