Neural networks (NNs) have proven their ability to deal with many computer vision tasks,
including image-based remote sensing such as the identification and segmentation of …

The typical procedure for Earth Observation Nanosatellites involves the sequential steps of
image capture, onboard storage, and subsequent transmission to the ground station. This …

On-board processing is increasingly prevalent due to its efficient utilization of satellite
resources. Among these resources, geometric rectification can significantly enhance …

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

The ability to design and implement microcontroller-based systems is one of the skills and
soft skills needed in Industry 4.0. Many researchers have identified various problems and …

The Sentinel-2 satellite constellation produces high-resolution multispectral data, covering
the entire Earth's land surface every five days. However, the use of this data is significantly …

Nanosatellites have increased in popularity, but its limited communication bandwidth and
computing resource constraints remain a challenge. Orbital edge computing has been …

The surge in remote sensing satellites and diverse imaging modes poses substantial
challenges for ground systems. Swift and high-precision geolocation is the foundational …

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 …

This article presents our research in the prelaunch phase of the Kanyini mission, which aims
to implement an energy-efficient, AI-based system onboard for early fire smoke detection …