Earth Observation (EO) spacecraft plays a pivotal role in various critical applications
impacting life on Earth. Historically, these systems have adhered to conventional operational …

Satellites are increasingly adopting on-board Artificial Intelligence (AI) techniques to
enhance platforms' autonomy through edge inference. In this context, the utilization of deep …

On-board image processing represents a practical application for satellite imagery, aiming to
optimize or prioritize data transmission to ground stations, thereby enhancing bandwidth …

Hyperspectral Imaging, employed in satellites for space remote sensing, like HYPSO-1,
faces constraints due to few labeled data sets, affecting the training of AI models demanding …

Satellites are increasingly adopting onboard AI to optimize operations and increase
autonomy through in-orbit inference. The use of deep learning (DL) models for segmentation …

Optimizing Earth observation nanosatellite missions requires careful orbit selection to
ensure global coverage and high image quality. The main challenge is to define an optimal …

Hyperspektral fotografering med satellitter er et sentralt verktøy innen global overvåking av
miljøet. Disse satellittene kan ta bilder med data om hundrevis av lysbølgelengder, og …

This paper presents an innovative, holistic, and comprehensive approach to drone-based
imaging spectroscopy based on a small, cost-effective, and lightweight Unmanned Aerial …

HYPerspectral Smallsat for Ocean observation (HYPSO) satellittene er utviklet ved Norges
teknisk-naturvitenskapelige universitet (NTNU) Small Satellite Lab (SSL). De inneholder et …

AI on spaceborne platforms optimizes operations and increases automation, crucial for
satellites with limited downlink capacity. It can ensure that only valuable information is …