期刊
REMOTE SENSING OF ENVIRONMENT
卷 112, 期 4, 页码 1464-1475出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2007.04.020
关键词
image processing; data assimilation; 4D-VAR; oceanography; velocity estimation
In this article we propose a new method to estimate ocean mesoscale structures of the surface current velocity by processing sea surface satellite images. Assuming that the intensity level can be described by a transport-diffusion equation, the proposed approach is based on variational assimilation of image observations within a simple transport-diffusion model. This approach permits to retrieve the current velocity field from a sequence of satellite images. Results of processing synthetic data and real NOAA-AVHRR satellite images are presented and commented. (C) 2007 Elsevier Inc. All rights reserved.
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