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LiveView: A new utility for real-time calibration of focal plane arrays using commodity hardware

机译：LiveView：使用公用硬件实时校准焦平面阵列的新实用程序

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This paper presents a novel application of commodity Graphics Processing Units (GPU), the OpenMP CPU parallelization library, and the Qt4.8 framework for a real-time characterization and calibration utility created to meet the needs of the Imaging Spectroscopy community. Until now FPA calibration was performed offline in MATLAB or IDL due to the high throughput required to process incoming data ¿¿¿ a staggering 1.1 Gbit/sec on a CPU. Techniques better suited to this sort of high-throughput processing are described, as well as pitfalls. The real-time analysis of data produced by these algorithms is used to identify sources of electronic noise and interference in the imaging spectrometer and to characterize the FPA. Additionally, the methods for optimizing the calculation routines used in the software, such as Fourier Transforms (FFT) and Dark Subtraction Filters (DSF), are described along with their applications. This software has been used to provide critical support for the testing of several imaging spectrometers, such as AVIRIS Next Generation2, NEON-33, PRISM4 and CWIS5.
机译：本文介绍了一种商品化图形处理单元（GPU），OpenMP CPU并行化库以及Qt4.8框架的一种新型应用程序，该应用程序可用于创建实时表征和校准实用程序，以满足成像光谱学界的需求。到目前为止，由于在CPU上以惊人的1.1 Gbit / sec处理传入数据所需的高吞吐量，因此FPA校准是在MATLAB或IDL中离线进行的。描述了更适合这种高通量处理的技术以及陷阱。这些算法产生的数据的实时分析可用于识别成像光谱仪中的电子噪声和干扰源并表征FPA。此外，还介绍了用于优化软件中使用的计算例程的方法，例如傅立叶变换（FFT）和暗减法滤波器（DSF）。该软件已用于为多种成像光谱仪的测试提供关键支持，例如AVIRIS Next Generation2，NEON-33，PRISM4和CWIS5。

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