In the past 40 years,with the continuous development of space technology and sensor tech-nology,ocean remote sensing and fishery have entered the era of big data.Accurate,efficient,and in-telligent mining of useful information in these ocean remote sensing and fishery data is a challenging problem that needs to be solved.As a powerful technology emerging in the field of machine learning in recent years,deep learning has achieved good results in many industrial applications.Compared with traditional image information extraction algorithms based on physics or statistics,its advantages are more obvious.As the beginning to expand the application in ocean remote sensing and fishery,in this study,we introduced the key theories and methods of artificial intelligence into ocean remote sensing and fishery.In the direction of ocean remote sensing and fishery,we summarized the use of deep learn-ing in marine environmental parameter inversion,remote sensing image classification and identification,marine phenomenon prediction,population identification,fishery biology and research progresses in fishery forecasts,and prospects for the future development of deep learning in ocean remote sensing and fishery.
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