Accelerating InSAR phase unwrapping

图形处理单元(或称GPU)被广泛用于执行通用计算。为了区分GPU的传统用法(主要集中在运行图形应用程序)和使用GPU运行通用应用程序的新方法，研究人员经常使用术语图形处理单元上的通用计算(或简称GPGPU)，以利用GPU资源软件开发人员使用不同于传统编程工具的语言。在这些程序中，最突出的两个是OpenCL和CUDA。 该项目的目的是使用图形处理器来增强相位展开，作为合成孔径雷达应用中执行的关键任务之一。这些改进将使地图建模更有效率和效力。 该项目将是继我们之前与合成孔径雷达(SAR)公司3vGeomatics(3vG)的合作和伙伴关系之后的下一步。

Graphics Processing Units (or GPUs) are widely used to perform general purpose computing. To differentiate between conventional usage of GPUs, which mainly focused on running graphics applications and the new approach of employing GPUs to run general purpose applications, researchers often use the term General-Purpose Computing on Graphics Processing Units (or simply GPGPU), In order to take advantage of GPU resources software developers use languages different from conventional programming tools. Among these programs the two most prominent ones are OpenCL and CUDA. This project aims at using GPUs to enhance phase unwrapping as one of the critical tasks performed in Synthetic Aperture Radar applications. The improvements will result in more efficient and effective modelling of maps. The project will be the next step following our earlier collaboration and partnership and 3vGeomatics (3vG) a Synthetic Aperture Radar (SAR) company.