Abstract
Satellite infrared images enable us to recognize macroscopically ocean phenomena such as current, eddy, front and others. However, the recognition has still remained ambiguous in minute parts.
Authors investigated a theoretical method to extract cold-streamers from NOAA/AVHRR images by using knowledge information for the cold-streamers.
The cold-streamers are homogeneous cold water bands which were derived from cold water masses into warm core ring. The candidates of cold-streamer were extracted by image processing. They were examined by using the standard deviation of temperature and the fractal dimension of learning samples wich were extracted by an expert. Resultantly, the candidates were confirmed the cold-streamers.
It is considered that this procedure is useful in combination with the procedure of the extraction of warm core ring eddy for the expert system by which some oceanic phenomena were detected.
