高光谱图像数据由星上压缩打包至地面, 再对其进行处理, 这种处理方式对实时应用场合显得过于迟缓。 同时, 图像数据量大, 处理步骤多, 反演算法复杂, 因此, 迫切需要搭建精确快速的数据处理平台来进行实时处理, 目前, 用硬件进行实时复原和进行误差校正的平台比较少, 能够成功应用的平台也由于处理速度不高, 精度不够, 灵活性差, 不能升级和配置等缺点, 也会直接影响到目标探测和识别的效果。 本系统以空间调制型光谱仪下传数据作为研究目标, 设计并实现了一种基于Xilinx Virtex-5 FPGA的数据处理平台, 通过可配置的、 高精度、 接口灵活的IP软核资源, 实现了光谱数据处理的关键环节, 并给出相关试验验证, 为光谱仪图像反演及误差校正探索了一种新途径。

The approach that deals with compressed and packed image data transmitted from satellite to the ground is too slow for real-time application occasion, it also has huge image, multi-processing step and complexity recovery arithmetic synchronously, so it is urgent to build accurate and fast data processing platform for real-time processing. For the moment, the platform for data recovery and error correction is much less, the so-called successful platform may directly affect the effect of target detection and identification because of processing speed, precision, flexibility, configuration and upgrade. The platform we build is to set spatial modulation spectrometer as the research goal, We design and implement a hardware platform based on Xilinx Virtex-5 FPGA, It is combined with ISE IP soft-core resources which is configurable, high-precision and flexible by focusing on analyzing key aspects of the hardware platform. And the relevant test data were drawn, then a good way for spectrum recovery and error correction was explored.