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Extracting Raft Aquaculture Areas from Remote Sensing Images via an Improved U-Net with a PSE Structure
2019
Remote Sensing
Remote sensing has become a primary technology for monitoring raft aquaculture products. However, due to the complexity of the marine aquaculture environment, the boundaries of the raft aquaculture areas in remote sensing images are often blurred, which will result in 'adhesion' phenomenon in the raft aquaculture areas extraction. The fully convolutional network (FCN) based methods have made great progress in the field of remote sensing in recent years. In this paper, we proposed an FCN-based
doi:10.3390/rs11172053
fatcat:mj2bsnwkorcddis4e7qd5oevba