对遥感数据进行预处理，并提取所需要区域的数据。对遥感数据进行预处理，并提取所需要区域的数据，得到区域遥感数据，根据区域遥感数据，并参照地理坐标系对区域遥感数据进行地理配准，建立地理数据库，并在地理数据库中建立要素数据表，要素类和关系表，在地理数据库中加载区域遥感数据进行分析，并通过测量工具进行地理要素的测量，得到测量数据。

中译英1，要求专业，杜绝机译（1）

海洋观测技术手段的迅速发展，使得多时段、大范围、多尺度的海洋数据迅速增加。 Marine observation of the rapid development of technology, make more time, large scope, multi-scale Marine data increase quickly. 然而，由于获得数据的仪器设备、处理方法，以及各海洋部门的习惯不同，使得大量的海洋数据普遍存在异构的情况。 However, because of the instrumentation equipment, the obtained data processing method, and the Marine department is different, make the habit of a lot of Marine data universal existence of heterogeneous. 同时，由于各个海洋数据提供单位通常处于不同的地理位置，而且数据的使用者和提供者往往也不在同一个地理位置之中，给数据的共享带来了不便，同时也造成数据的利用效率低、资金浪费。 At the same time, because of oceans data provide unit usually are in different geographical location, and data users and providers often is not in the same geographic position, to the sharing of data bring inconvenience, also caused the use of data efficiency is low, the fund waste. 海洋信息网格中，既共享着大量的海洋数据，又涉及到许多海洋分析模型，这些模型能够对原始海洋数据进行分析，产生新的科学数据，并可以实时地纳入到海洋信息网格中，成为新的网格数据资源，供用户浏览和分析。 Ocean information grid, both share a lot of Marine data, and involves many Marine analysis model, the model can the analysis of the data of the original sea, create new scientific data, and can real-time information into the ocean in a grid, become the new grid data resources, for the user to view and analysis. 因此，网格环境下，海洋虚拟数据的实时生成技术成为信息网格不同于以往的信息共享模式的关键技术。 Therefore, the grid environment, Marine virtual real-time data generation technology to become information grid different information sharing model of the key technology.

The rapid development of ocean observation technology makes the marine data, which is of multiperiod, large-scope and multi-scale, increase quickly. However, the distinctions of different equipments, processing methods and the customs of marine departments result in the heterogeneous existence in a great deal of marine data. Meanwhile, because of different geographical locations of the data providers and that of the users, it will be very inconvenient to share data, which leads to the data inefficiency and fund waste.Ocean information network not only shares abundant marine data, but also refers to many marine analysis models. These models can analyze the original sea data so as to create new scientific ones and put them into the ocean network timely, becoming the new resources for the users to browse and analyze. Therefore, the real-time generation of the virtual marine date becomes the key technology different from the old information sharing model.