SAR Image Compression by Using Neural Network in Wavelet Domain

According to the characteristic of SAR image containing the multiplicative speckle, a kind of neural network image compression algorithm in wavelet domain was proposed. Wavelet transform can well reflect the characteristics of human vision, but the neural network has self-learning, adaptive, robust, highly parallel processing ability and generalization ability. The wavelet and neural network together in SAR image compression compared with other encoding methods, has obvious advantage. Compared with block-DCT algorithm and sub-band DWT method, this algorithm preserves more advantage in speckle reduction and image details keeping, the compressed image with visual features the best.