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自动化哨兵-1 SLC产品处理:平行化和优化,以实现高效的极度参数提取

Hansanee Fernando¹, Kwabena Nketia¹, Thuan Ha¹

¹Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Canada.

|March 31, 2025

概括

本研究介绍了一种自动化工作流程,用于使用RStudio,SNAP和PolSARpro.pro处理Sentinel-1单视图复合 (S1-SLC) 数据. 这种用户友好的过程使得高效,大规模的SAR数据分析能够在最低限度的编程专业知识下实现.

科学领域:

遥感遥感遥感遥感
地理空间分析是什么
计算科学计算科学

背景情况:

处理 Sentinel-1 (S1) 单一查看复杂 (SLC) 数据是计算密集型的,需要像 SNAP 或 PolSARpro.pro 等专门的软件.
手动处理多个S1-SLC文件耗时且容易出现错误,阻碍了大规模分析.

研究的目的:

开发一个自动化,用户友好的工作流程,用于处理无限数量的S1-SLC图像.
为了使具有有限编程或SAR专业知识的用户能够有效地处理SAR数据.
将RStudio,SNAP和PolSARpro集成为一个无可扩展的处理管道.

主要方法:

开发了一个集成RStudio,SNAP和PolSARpro的工作流,用于Windows上的命令行处理.
利用SNAP的图形用户界面 (GUI) 来创建一个基本图表,用于基本的SAR处理步骤.
实现基于R的批处理与并行计算,用于同时执行图形和高效的参数提取.

主要成果:

成功自动处理多个S1-SLC图像,显著减少手工交互.
实现了SNAP和PolSARpro输出之间的互操作性,用于高级后处理.
通过基于R的并行实现,证明了高效的资源利用和计算性能.

结论:

拟议的自动化工作流简化了S1-SLC数据处理,使得更广泛的用户群可以访问高级SAR分析.
整合RStudio,SNAP和PolSARpro提供了一个可扩展和高效的解决方案,用于处理大量的SAR数据.
这种方法增强了SAR数据处理能力,特别是对于具有最小编程或SAR专业知识的用户.

关键词:

自动化自动化自动化自动化自动化处理S1 SLC图像的自动化批量处理批量处理平行化是平行化的.在PolSARproSAR中使用.在RStudio工作室.这就是SNAP.哨兵一号 - 哨兵一号单一的外观复杂的复杂

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