Abstract: A new effective target recognition method for SAR images is proposed. First of all，take the improved enhanced Lee filtering and HOG transformation for feature extraction of SAR images，then through a hybrid neural network by cascading RBM and GRNN combination to operate object segmentation and target recognition of SAR images. Using MATLAB algorithm simulation of the test image database，in this paper，the method of object recognition based on the deep learning neural network algorithm can obviously increase the recognition rate，and accuracy reaches 97%.

Key words: target recognition, Lee filtering, HOG transformation, deep learning, neural network