PolSAR Marine Aquaculture Detection Based on Fast PMVOAU-net

Floating raft aquaculture is an effective method in the China coastal sea. Compared to synthetic aperture radar (SAR), polarimetric synthetic aperture radar (PolSAR) can obtain more echo information and enhance the ability of imaging radar to get target information. MDOAU-net has been successful in SAR images’ marine aquaculture detection encouraging researchers to explore the performance of PolSAR data in MDOAU-net. However, MDOAU-net did not consider that PolSAR data have more multi-scattering information of objects, and SAR data only have intensity information of objects. Moreover, compared to SAR data, PolSAR data has fewer speckle noises. So, this paper proposes a new model called PMVOAU-net, which is faster and more effective for PolSAR image segmentation than MDOAU-net. Adopting the Freeman decomposition, getting pseudo-color images of scattering characteristics fusion and three components scattering images. Experiments on PolSAR images substantiate the effectiveness of the proposed approach.