【摘要】 温跃层对于潜艇的水下航行和战斗具有十分重要的意义。由于中国的现状,无法获取大量高精度的SST资料,给研究带来了很大的障碍。该文针对数据获取比较困难和数据精度不高的现状,提出了将图形的颜色表示从RGB空间转换到HIS空间来构造一时间序列,并对此序列用调频Guassian小波来进行分解和重构,其所得的低频信号能很好地还原出颜色变量中所包含地温度信息。经实验证明,该方法比传统的处理方法有了十分明显的提高,所得到的温度数据精度高,能满足温跃层研究的需要。更多还原

【Abstract】 Thermocline is important for submarine in underwater navigation and action. At present, a lot of data of highly precise SST can’t be obtained because of Chinese economic status. To solving the problem, the paper puts forward two methods. First is to transform color of image from RGB to HIS which can construct a time-serial. The second method is to construct and deconstruct the serial by using modulated Guassian wavelet. The processed low frequency signal can revert the temperature that is contained in the color signal. In the end, the results prove that the method can distinctly improve the acquired temperature compared with the traditional method. The temperature is so precise that it can meet the need of research of thermocline.更多还原