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Application of GAN-based Remote Sensing Image Segmentation Technology in Mariculture

Shuo Lian, Jin Zhao, Pu Guo, Taizhi Li

Abstract


The application of remote sensing image segmentation technology in mariculture provides a new method for aquaculture monitoring
and management. Generative Adversarial Network (GAN), as an emerging deep learning technology, shows great potential in remote sensing
image segmentation by virtue of its unique generative adversarial mechanism. This paper summarizes the basic principle of GAN, the development of remote sensing image segmentation technology and the application of GAN in remote sensing image segmentation. Combined with
the actual needs of mariculture, the application strategy of GAN-based remote sensing image segmentation technology in mariculture is discussed, including target recognition and segmentation, design and training of GAN model, and deployment of the model and real-time image
processing. This paper provides detailed references and new research directions for researchers in related fields.

Keywords


GAN; Remote sensing; Image segmentation; Mariculture; Target recognition

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References


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DOI: http://dx.doi.org/10.70711/aitr.v2i4.4865

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