在线准作战机载高光谱遥感系统的概念与集成

H. Schilling, A. Lenz, W. Gross, Dominik Perpeet, Sebastian Wuttke, W. Middelmann
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引用次数: 7

摘要

现代任务特点要求在侦察中使用先进的成像传感器。特别是,高空间和高光谱分辨率成像为许多任务提供了有希望的数据,例如分类和探测与军事相关的物体,例如伪装单位或简易爆炸装置(ied)。特别是在高度机动部队的不对称战争中,情报、监视和侦察(ISR)需要接近实时。这需要使用无人机(uav)与下行链路能力相结合。本贡献中描述的系统集成在机翼吊舱中,便于安装和校准。它是为高光谱数据的实时采集和分析而设计的。主要组件是一个specm AISA Eagle II高光谱传感器,覆盖可见光和近红外(VNIR)光谱范围,光谱分辨率高达1.2 nm和1024像素,导致地面采样距离在典型高度低于1米。高光谱传感器的推扫帚特性要求惯性导航系统对图像数据进行校正和地理参考。附加传感器是一个高分辨率RGB (HR-RGB)帧相机和一个热成像相机。对于在线应用,数据被预先选择,压缩并通过第二翼吊舱中的现有系统传输到地面控制站(GCS)。GCS数据处理后的最终结果是高光谱正校正GeoTIFF,归档到ERDAS APOLLO地理信息系统中。APOLLO允许远程访问数据,并提供基于web的分析工具。该系统是准操作的,并于2013年5月在德国不来梅港成功进行了测试。
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Concept and integration of an on-line quasi-operational airborne hyperspectral remote sensing system
Modern mission characteristics require the use of advanced imaging sensors in reconnaissance. In particular, high spatial and high spectral resolution imaging provides promising data for many tasks such as classification and detecting objects of military relevance, such as camouflaged units or improvised explosive devices (IEDs). Especially in asymmetric warfare with highly mobile forces, intelligence, surveillance and reconnaissance (ISR) needs to be available close to real-time. This demands the use of unmanned aerial vehicles (UAVs) in combination with downlink capability. The system described in this contribution is integrated in a wing pod for ease of installation and calibration. It is designed for the real-time acquisition and analysis of hyperspectral data. The main component is a Specim AISA Eagle II hyperspectral sensor, covering the visible and near-infrared (VNIR) spectral range with a spectral resolution up to 1.2 nm and 1024 pixel across track, leading to a ground sampling distance below 1 m at typical altitudes. The push broom characteristic of the hyperspectral sensor demands an inertial navigation system (INS) for rectification and georeferencing of the image data. Additional sensors are a high resolution RGB (HR-RGB) frame camera and a thermal imaging camera. For on-line application, the data is preselected, compressed and transmitted to the ground control station (GCS) by an existing system in a second wing pod. The final result after data processing in the GCS is a hyperspectral orthorectified GeoTIFF, which is filed in the ERDAS APOLLO geographical information system. APOLLO allows remote access to the data and offers web-based analysis tools. The system is quasi-operational and was successfully tested in May 2013 in Bremerhaven, Germany.
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