Abstract

Ocean detection plays an important role in ocean activities. The research of ocean detection plays an important supporting role in the theoretical research of ocean science, the protection, development, and utilization of ocean resources, and China’s maritime military issues. In this research, we propose a comprehensive ocean detection algorithm based on the boundary characteristics of the light and dark stripes of the internal waves in the SAR image. The results show that the algorithm can well identify the bright and dark stripes of ocean detection, not only can delete the outline of non-internal stripes, but also can delete some small but not obvious internal stripes. As an important method of image recognition, analysis, and understanding, image segmentation has been used by many scholars in previous image preprocessing. However, remote sensing images have the characteristics of wide-area observation, quasi real-time, and multi-band. If the traditional image segmentation algorithm is directly applied to the recognition and analysis of remote sensing images, the calculation time will be longer and the segmentation accuracy will be lower. Therefore, based on the analysis of existing image segmentation algorithms and combining the characteristics of remote sensing images (wide area coverage and multi-band), this paper proposes an ocean detection algorithm based on the boundary characteristics of remote sensing images. With the development of society and economy, the exchanges between countries have become increasingly close, and the market demand for translation talents is also increasing. This article analyzes the current situation of Japanese trade vocabulary translation teaching, points out that there are still many problems in Japanese trade vocabulary translation teaching, and proposes corresponding adjustment countermeasures, in order to improve the quality of Japanese trade vocabulary translation teaching and send qualified translators to the society.

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