为了用较小的数据量重构出保留细节结构的高分辨率海表温度(SST)图像,对海表温度脊线和谷线、温度梯度脊线以及残差图像脊线进行采样,与陆地边界以及矩形域的边缘一起作为边界条件,利用Laplace方程的9点差分形式,对海域中所有的节点迭代计算,重构出海表温度场。选取了2012年5月份东海以及西太平洋海域的MODIS 3级产品的月平均海表温度进行采样与重构实验,结果表明,复原图像与原图像误差最大绝对值为0.396 0 ℃,回放等值线与原等值线叠合吻合较好,说明用该方法进行海表温度场重构具有可行性。

In order to reconstruct high-resolution images of sea surface temperature (SST) preserving the structural details using less amount of data, ridge and valley lines of SST,ridge lines of SST gradient and ridge lines of residual image were sampled. Combined with the land boundary and rectangle domain edges, the sampled points were set as boundary conditions.By the 9-point difference scheme of the Laplace equation, all nodes were calculated using finite-difference iterative method and the SST field was reconstructed. As a test, the SST image of level 3 MODIS product covering East China Sea and West Pacific in May 2012 was resampled and reconstructed. The result showed that the maximum absolute error between the retrieved image and the original one is less than 0.396 0 ℃. The reconstructed contours fit well with the original ones in the overlapped picture. It showed that the method for SST field reconstruction is feasible.