论文标题
在基于ODC的框架中集成预处理管道
Integrating pre-processing pipelines in ODC based framework
论文作者
论文摘要
使用按需处理管道生成虚拟地理空间产品有益于优化资源管理和减少处理要求和数据存储空间。此外，预处理产品改善了数据驱动的分析算法（例如机器学习或深度学习模型）的数据质量。本文提出了一种基于集成开源处理管道的虚拟产品的方法。为了验证和评估这种方法的功能，我们将其集成到了基于开放数据立方体（ODC）的地理象征管理框架中。为了验证方法，我们使用了多传感器遥感数据，例如Sentinel-1和Sentinel-2进行了三个实验，开发了按需处理管道。这些管道是使用开源处理框架集成的。
Using on-demand processing pipelines to generate virtual geospatial products is beneficial to optimizing resource management and decreasing processing requirements and data storage space. Additionally, pre-processed products improve data quality for data-driven analytical algorithms, such as machine learning or deep learning models. This paper proposes a method to integrate virtual products based on integrating open-source processing pipelines. In order to validate and evaluate the functioning of this approach, we have integrated it into a geo-imagery management framework based on Open Data Cube (ODC). To validate the methodology, we have performed three experiments developing on-demand processing pipelines using multi-sensor remote sensing data, for instance, Sentinel-1 and Sentinel-2. These pipelines are integrated using open-source processing frameworks.
