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Proceedings Paper

An algorithm for temperature van extraction from SST image
Author(s): Feng Zhang; Ren-yi Liu; Nan Liu
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Paper Abstract

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.

Paper Details

Date Published: 3 November 2005
PDF: 6 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604429 (3 November 2005); doi: 10.1117/12.655294
Show Author Affiliations
Feng Zhang, Zhejiang Univ. (China)
Ren-yi Liu, Zhejiang Univ. (China)
Nan Liu, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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