基于轻型平台的多模态高分辨率高光谱目标检测系统

Multi-modal High-Resolution Hyperspectral Object Detection System Based on Lightweight Platform

为解决无人机高光谱成像仪体积大,探测效率低等问题,提出了一种轻小型多模态高分辨率高光谱成像仪。文中主要介绍了高光谱成像仪光学系统设计,数据采集及实时处理模块。通过切换扫描模式满足光谱特性分析,目标检测等不同领域的探测模式需求。采用低畸变、高通量、紧凑型分光光学系统设计实现无人机平台对光谱成像仪的重量要求和探测精度要求。根据设计需求实现产品的加工同时进行了性能测试,其中,MTF达到0.19,光谱分辨率3.5~5.4 nm。通过检测多种流水线中的杂质验证系统对实时目标检测的能力。实现结果表明,系统能够实现每秒2048 pixel×2048 pixel场景的高精度光谱异常目标探测,探测精度优于87%。

To solve the problems of large volume and low detection efficiency of UAV hyperspectral imagers,a light and small multi-modal high-resolution hyperspectral imager is proposed.This study primarily introduces the optical system design,data acquisition,and real-time processing modules of the hyperspectral imager.The proposed imager satisfies the detection mode requirements in different fields,such as spectral characteristic analysis and target detection,by switching the scanning mode.A low distortion,high throughput,and compact spectroscopic optical system design is adopted to meet the weight and detection accuracy requirements of the UAV platform for the spectral imager.The product was processed according to the design requirements and the performance was tested simultaneously.Among these,the MTF reached 0.19 and spectral resolution was 3.5–5.4 nm.The ability of the system to detect real-time targets was verified through detection of impurities in various pipelines.The implementation results showed that the system achieved high-precision spectral anomaly target detection in 2048 pixel´2048 pixel scenes per second with a detection accuracy greater than 87%.