The Use of Artificial Intelligence for Space Applications

SAR Image Formation: Conventional and AI-based approaches on Sentinel-1 Raw Products.- YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking.- GPU@SAT: a general-purpose programmable accelerator for on board data processing and satellite autonomy.- Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance.- Satellite IoT for TT&C and Satellite Identification.- Hardware-in-the-loop simulations of future autonomous space systems aided by artificial intelligence.- Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance.- Imbalanced data handling for deep learning-based autonomous Crater Detection Algorithms in Terrain Relative Navigation.- Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design.- Distribution Shift Metric for Performance Evaluation of Behavioral Cloning Applied to the Fuel-Optimal Landing Problem.- Fault Detection Exploiting Artificial Intelligence in Satellite Systems.- ISS Monocular Depth Estimation Via Deep Learning.- RobDT: AI-enhanced Digital Twins for Space Exploration Robotic Assets.- An Overview of X-TFC Applications for Aerospace Optimal Control Problems.- Innovative ML-based methods for automated on-board spacecraft anomaly detection.- Explainable AI with the Information Bottleneck Principle.- SINAV an ASI study of future AI applications on spatial rovers.- Deep Learning for Navigation of Small Satellites about Asteroids: an Introduction to the DeepNav Project.- Object recognition algorithms for the Didymos binary system.- Towards an explainable Artificial Intelligence approach for ships detection from satellite imagery.- Investigating Vision Transformers for Bridging Domain Gap in Satellite Pose Estimation.- Detection of Clouds and Cloud shadows on Sentinel-2 Data Using a CNN.- PRISMA Hyperspectral Image Segmentation with U-Net Convolutional Neural Network using Singular Value Decomposition for Mapping Mining Areas: preliminary results.- Earth Observation Big Data exploitation for water reservoirs continuous monitoring: the potential of Sentinel-2 data and HPC.- Retrieval of marine parameters from hyperspectral satellite data and machine learning methods.- Cooperative Lunar Site Preparation and Open Pit Resource Extraction Using Ground Robots.- Machine learning for SAR processing.- Canopy fire effects estimation using Sentinel-2 imagery and deep learning approach. A case study on the Aspromonte National Park.- A Supervised Learning-based Approach to Maneuver Detection Through TLE Data Mining.- A Machine learning approach for Monitoring of GNSS signal quality in Spaceborne receivers: Evil waveform and RF threats.