EDGE PRESERVING CNN SAR DESPECKLING ALGORITHM
- 1Università degli Studi di Napoli Parthenope, Dipartimento di Ingegneria, Napoli, Italy
- 2Università degli Studi di Napoli Parthenope, Dipartimento di Scienze e Tecnologie, Napoli, Italy
Keywords: SAR, deep learning, speckle, cnn, denoising
Abstract. SAR despeckling is a key tool for Earth Observation. Interpretation of SAR images are impaired by speckle, a multiplicative noise related to interference of backscattering from the illuminated scene towards the sensor. Reducing the noise is a crucial task for the understanding of the scene. Based on the results of our previous solution KL-DNN, in this work we define a new cost function for training a convolutional neural network for despeckling. The aim is to control the edge preservation and to better filter man-made structures and urban areas that are very challenging for KL-DNN. The results show a very good improvement on the not homogeneous areas keeping the good results in the homogeneous ones. Result on both simulated and real data are shown in the paper.