Feature enhancement for multichannel SAR image: A non-local vectorial total variation approach
Xintong Tan, Qi Jun Yu, Jubo Zhu · 2016
This paper aims at the feature enhancement for the multichannel synthetic aperture radar (SAR) images. A novel non-local vectorial total variation approach, which is an extension of the non-local vectorial total variation approach for the multichannel SAR images, is proposed. It contains the vectorial data fidelity term and the non-local vectorial total variation term. The non-local vectorial total variation term contains the structure information and is constructed by high-dimensional non-local gradient. Experiments on the measured multichannel SAR images shows that the proposed approach can efficiently suppress speckle noise and enhance features especially edges.