An algorithm for temperature van extraction from SST image

摘要

The sea surface temperature (SST) is a marine variable of influencing the atmosphere, and a sensitive indicator of climatic change. Temperature van refers to the bounded line between two water bodies that have relatively great difference of temperature in the ocean. The gradient of such environmental factors as the sea temperature and salt degree are very various, which make the temperature van area become the invisible protective screen of limiting the scope of activities of fish, impel fish's cluster. It is efficient for fishing to find the temperature van area. Therefore, how to extract the temperature van from various kinds of images is an important content in the research of temperature van. Robert and Sobel are common arithmetic operators of detecting edge of image. But the results show that these two common edge detection can't extract temperature van from SST image efficiently. An algorithm based on grid is brought out in this paper, which can extract temperature van accurately. The experimental results demonstrate the effectiveness of the proposed algorithm.