An investigation into reduced-size Hyper-Spectral Imaging Systems for UAV and Pico & Nano Satellites

Glen Stephens

Abstract


Hyperspectral Imaging is a remote sensing method that captures and arrays numerous, time sequential two-dimensional images of the same object. Each captured image is directly related to a specific wavelength of the electromagnetic spectrum. These collected images are utilised in many ways including; mineral exploitation, crop assessment, determination of vegetative conditions, small target detection, and medical inspections. This project investigates the feasibility reduced-size, broad range spectrum, low power Hyperspectral Imaging Systems for Pico & Nano-satellites, and UAVs incorporation. The system will utilise a preinstalled image sensor mounted to a provided FPGA board. A literature review identified small-scale Hyperspectral Imaging systems currently in development and production, and investigated different scanning and data gathering methods. The three pathways of investigation, design and development are; the optical pathway single slit aperture to image sensor physical design of the housing, and incorporation of f32c System on a Chip with the provided FPGA. Several subassemblies were designed and investigated, with rigorous testing procedures developed to ensure project development.

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