Ocean Thermal Feature Recognition, Discrimination and Tracking Using InfraredSatellite Imagery

摘要

This paper presents a method to quantitatively measure ocean surface movement,using 10.5 micron band AVHRR images. An ordered statistical edge detection algorithm is used to select thermal pattern features, at the same time discriminating between the water surface, clouds and land. A constrained statistical correlation based recognition scheme is then used to find the best match to the pattern feature in a subsequent image. Study Areas off the Delaware and New Jersey coast were analysed using the method, with results comparing favorably with in situ anchored buoy measurements. All relevent algorithms are included in the paper with key program code included in appendices.