Super-Resolution of Polarimetric SAR Images for Ship Detection

Polarimetric SAR images are used for aerial and space imagery applications, such as target detection, tracking, and resource exploration. However, spatial resolution is limited due to the signal bandwidth and the antenna dimension. Super-resolution reconstruction is the process to reconstruct a high-resolution image from multiple low-resolution images. Polarimetric SAR provides multiple images of the same scene at the different channels (HH, VV, HV and VH). In this paper, the POCS method is applied to extract the information from LR images in different channels to generate the HR image. The multiplicative characteristics of noises in SAR images are utilized to construct the convex sets in POCS method. Ship targets are selected as detection object for super-resolution. Results from simulated and real data have validated the effectiveness of proposed method.