| dc.description.abstract | Hyper-Spectral Small Satellite for Ocean Observation (HYPSO) is a space mission at the SmallSatLab at NTNU in Trondheim with the mission to provide rapid and continuous capturing and monitoring of the Norwegian coast. The first mission was HYPSO-1 launched in 2022, which is a 6U CubeSat containing a Hyperspectral Imaging (HSI) Payload. HYPSO's mission includes a lot of high-complexity tasks concerning onboard data handling or processing that consist of machine learning and artificial applications. This is mainly supported by the use of Commercial off-the-shelf products (COTS) like FPGAs (Field Programmable Gate Array) which are high-density programmable logic devices that are very popular in space projects because of their reconfigurable characteristic. One of the challenges that HYPSO missions and space missions in general face is the possibility to change the hardware logic with the aim to update, remove or interchange the existing logic with a new one. This thesis adds this functionality to the HYPSO mission by providing a dynamic reconfiguration approach. Besides the reconfiguration functionality, this thesis provides another approach to increase the flexibility and efficiency of the on-board compression algorithm by allowing the change of the image dimensions dynamically, since based on the previous master thesis it was noted that the compression core cannot be used for varied hyperspectral images | |
