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海洋锋面是海洋水团特性明显不同的两种或几种水体之间的狭窄过渡带。本文旨在对遥感反演海洋温度场数据(SST),引入引力模型进行海洋锋面的检测。鉴于海洋锋受噪声干扰大,锋面强度小的特点,本文提出了基于引力算法的引力模型。其中,引力算法是将温度数据中的每一个像元点都作为一个独立的天体,其质量对应该像元的温度值,根据引力定律计算3×3区域中,邻域像元对中心点像元的引力和。模型首先对原始数据进行去0处理,为消除对原始数据明暗程度的依赖,对3×3区域数据进行归一化,然后利用函数对归一化后的数据进行增强处理,最后,以引力算法进行锋面检测。验证表明,该模型能有效强化不同区域或水体差异性,并能够有效针对海洋锋信息进行提取,受噪声影响小。
The ocean front is a narrow transition between two or more bodies of water with markedly different characteristics of the ocean water mass. The purpose of this paper is to retrieve ocean temperature field data (SST) from remote sensing and to introduce a gravity model for the detection of ocean front. In view of the fact that the ocean front is greatly disturbed by noise and the frontal strength is small, a gravitational model based on the gravitational algorithm is proposed in this paper. Among them, the gravitational algorithm is the temperature data in each pixel as an independent object, the mass corresponding to the temperature of the pixel, according to the law of gravity calculation 3 × 3 area, the neighborhood of the pixel center point image Yuan gravitational and. First, the model performs zero processing on the original data. In order to eliminate the dependence on the brightness of the original data, the 3 × 3 region data is normalized, and then the normalized data is enhanced by the function. Finally, Face detection. Verification shows that this model can effectively enhance the differences between different regions or water bodies, and can effectively extract ocean front information, which is less affected by noise.