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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Development of Autonomous Bounding Box Algorithms for OPIC’s Data Prioritization on the Comet Interceptor Mission

Brune, Eric January 2022 (has links)
The joint European Space Agency and Japan Aerospace Exploration Agency mission Comet Interceptor seeks to perform a flyby of a Small Solar System Body (SSSB), through use of a multi-element spacecraft. It comprises a primary spacecraft and two subspacecraft, the latter of which will encounter the intercepted object at a small enough distance that its end-of-life might occur at an impact of either the object itself or its potential coma. The Optical Periscopic Imager for Comets (OPIC) is an instrument implemented on one of these small probes which will generate monochromatic images during the encounter. Given a limited data budget before the possible impact, there is a need for data prioritization to ensure that only the most scientifically relevant data is collected. To enable this, algorithms for autonomously cropping an object nucleus from an image were developed during this thesis work. As the computational capabilities of OPIC are limited, the algorithms were required to be of low computational complexity. Additionally, given that the close environment of SSSB in general and comets in particular often exhibit considerable quantities of gas and dust which can generate cluttering in images, the algorithms developed were required to be resistant to noise. Three image cropping algorithms were developed with varying computational complexities. These were tested for cropping accuracy and relative execution times on data from both previous space missions as well as simulated photorealistic images. All three algorithms were able to properly find a bounding box of an object nucleus and any of its significant plumes. The accuracy in cropping correctness of the region borders generated increased with the computational complexity of the algorithms.
2

Volumetric Rendering of the Inner Coma of a Theoretically Modelled Comet for Comet Interceptor Mission

Vinod, Amal January 2023 (has links)
The Comet Interceptor is a joint mission by European Space Agency (ESA) and Japan Aerospace Exploration Agency (JAXA) which seeks to perform a flyby over a Long Period Comet using a multi-element spacecraft. The Comet Interceptor comprises three spacecrafts- A, B1 and B2. All three spacecrafts will observe and map the comet at three different points on the coma of the comet, thereby making this mission the first ever multipoint mission dedicated to study a Long Period Comet. Out of the eleven instruments aboard the Comet Interceptor, the work done for this thesis aims to help the team designing the instrument-Optical Periscope Imager forComets (OPIC). The team designing OPIC uses the imaging simulation software Space Imaging Simulator for Proximity Operations (SISPO) to render images of theoretically modelled dust and gas densities of the coma of a comet to obtain prerequisite knowledge of the images which is to be taken by OPIC during its flyby. Using the theoretical model of the coma, a 3D model was created as part of the thesis which shall be later implemented in SISPO. The structure of the coma was made with the help of a sparse volumetric data manipulation tool OpenVDB, which was coded and run in Python. The generated data was imported in Blender to visualise the volumetric data with the help of Blender’s rendering engine-Cycles. To visualise the 3D model with utmost physical realism as the software Blender allows, a study on the scattering properties of the dust and gas model was done. Also, a motion blur was implemented in Blender to simulate the high relative velocity between the instrument and comet. Multiple approaches of varying complexities and time consumption were considered for importing and visualising the volumetric data. The final render images were brightness-matched with reference to images from previous cometary missions. Finally, a qualitative analysis was done by visually comparing the render images to the images from previous missions. With the help of this qualitative analysis, several features and characteristics were identified which were analogous to the real life images, thus establishing the correctness of the renders produced.

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