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AMSR-E sea surface temperature (SST) charts enhancement |
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| Authors: | |
| Institution: | 1.Institute of Automation and Control Processes,Far Eastern Branch of Russian Academy of Sciences,Vladivostok,Russia;2.Far Eastern Federal University,Vladivostok,Russia |
| Abstract: | Microwave satellite images used for retrieving sea surface temperatures often have such distortions as noise and blurring of the thermal fronts. An image processing approach based on the Mumford-Shah model of optimal image approximation is considered for the solution to this problem. We divide images into flat areas and frontal zones, and then process these areas separately. Image fragmentation is based on automatic detection of the thermal front lines. SST enhancement in frontal zones is achieved by using image deconvolution methods. It has been shown that SST errors in high gradient areas reach 1–3 °C. The proposed approach can decrease this discrepancy. |
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