Qi Baogui, Shi Hao, Zhuang Yin, Chen He, Chen Liang
Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China.
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Sensors (Basel). 2018 Apr 25;18(5):1328. doi: 10.3390/s18051328.
With the development of remote-sensing technology, optical remote-sensing imagery processing has played an important role in many application fields, such as geological exploration and natural disaster prevention. However, relative radiation correction and geometric correction are key steps in preprocessing because raw image data without preprocessing will cause poor performance during application. Traditionally, remote-sensing data are downlinked to the ground station, preprocessed, and distributed to users. This process generates long delays, which is a major bottleneck in real-time applications for remote-sensing data. Therefore, on-board, real-time image preprocessing is greatly desired. In this paper, a real-time processing architecture for on-board imagery preprocessing is proposed. First, a hierarchical optimization and mapping method is proposed to realize the preprocessing algorithm in a hardware structure, which can effectively reduce the computation burden of on-board processing. Second, a co-processing system using a field-programmable gate array (FPGA) and a digital signal processor (DSP; altogether, FPGA-DSP) based on optimization is designed to realize real-time preprocessing. The experimental results demonstrate the potential application of our system to an on-board processor, for which resources and power consumption are limited.
随着遥感技术的发展，光学遥感图像处理在地质勘探和自然灾害预防等许多应用领域发挥了重要作用。然而，相对辐射校正和几何校正是预处理中的关键步骤，因为未经预处理的原始图像数据在应用过程中会导致性能不佳。传统上，遥感数据被下行传输到地面站，进行预处理后再分发给用户。这个过程会产生长时间延迟，这是遥感数据实时应用中的一个主要瓶颈。因此，机载实时图像预处理非常必要。本文提出了一种机载图像预处理的实时处理架构。首先，提出了一种分层优化和映射方法，以在硬件结构中实现预处理算法，从而有效减轻机载处理的计算负担。其次，基于优化设计了一种使用现场可编程门阵列（FPGA）和数字信号处理器（DSP，合称FPGA-DSP）的协同处理系统，以实现实时预处理。实验结果证明了我们的系统在资源和功耗受限的机载处理器上的潜在应用价值。
