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Efficiently dealing with the variety of sar data formats

机译：有效处理各种sar数据格式

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SAR data from airborne ans spaceborne platforms is delivered to users in a variety of formats. Each system has its own format, and each data product from each processing facility also has product-specific format differences. Add to this thathe format and data itself can be modified over the lifetime of the system and users are understandably overwhelmed. Many analysts avoid this issue by using one or a few well-known datasets. But then using something requires a major investment in time and resources before it can be used effectively. In order to tackle this problem head-on, we are developing an open-source software framework that enables the entire remote sensing community to contribute to the solution of this problem. In particular, the framework provides a set of standard tools for development of software that can then be used to ingest any format of remotely-sensed data. Once ingested, this data, including a standard set of metadata, can then be used in subsequent processing without writing sensor-specific processing codes. The framework tools that are being developed to accomplish this are detailed, along with some first successes in writing “ingesters” for some of the popular SAR datasets.
机译：来自机载ans航天平台的SAR数据以多种格式交付给用户。每个系统都有其自己的格式，每个处理设施中的每个数据产品也具有特定于产品的格式差异。除此之外，格式和数据本身可以在系统的整个生命周期内进行修改，并且用户不堪重负是可以理解的。许多分析师通过使用一个或几个众所周知的数据集来避免此问题。但是，要想有效地使用某物，就需要花费大量时间和资源。为了直接解决此问题，我们正在开发一种开源软件框架，该框架可使整个遥感界为解决该问题做出贡献。尤其是，该框架提供了一组用于开发软件的标准工具，这些标准工具随后可用于提取任何格式的遥感数据。摄取后，此数据（包括标准的元数据集）可随后用于后续处理中，而无需编写特定于传感器的处理代码。详细介绍了为实现此目的而开发的框架工具，以及为一些流行的SAR数据集编写“酯类”的一些首次成功经验。

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