Browsing by Author "Jurgen, Ludemann"

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    Sub-pixel image translation estimation on a nanosatellite platform
    (Stellenbosch : Stellenbosch University, 2019-04) Jurgen, Ludemann; Barnard, Arno; Smit, W.; Malan, D. F.; Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.
    ENGLISH ABSTRACT: Nanosatellites are limited in their physical size, which limits the physical size of payloads they can carry, thereby limiting the quality of images taken during CubeSat Earth Observation missions. Algorithms exist that combine partially overlapping images to produce better output image quality. These algorithms may either improve the signal-to-noise ratio via averaging, increase resolution via super-resolution or merely remove redundant information via mosaicing. Typically, they only function properly if the geometric transformations between consecutive images are known with high accuracy. They can either be applied terrestrially or on-board a satellite. Downloading large raw image data sets for terrestrial processing is impractical for a CubeSat mission, and therefore an on-board solution is desirable. This thesis discusses the accurate determination of the transformation between consecutive images on-board, laying the foundation for e cient onboard de-noising, super-resolution and mosaicing. Two common methods used to determine translation { normalised cross correlation (NCC) and phase correlation { are investigated. From simulated results, NCC is shown to be the better candidate for our application. NCC achieves sub-pixel accuracy by making use of polynomial least squares regression. NCC is well suited for implementation on a satellite platform where images are captured in quick succession, resulting in partially overlapping images with little rotation between frames. We compare two potential hardware platforms { the MicroZed 7020 and Jetson TK1 { and then describe how we implemented our proposed solution onto the former, using a hardware description language. Software simulation and rmware-implementation results, using simulated data, are compared and discussed. Subsequently, the MicroZed 7020's implemented design is characterised, compared and discussed in terms of algorithm and platform performance.