The Use of Artificial Intelligence for Space Applications : Workshop at the 2022 International Conference on Applied Intelligence and Informatics /
This book is an ideal and practical resource on the potential impact Artificial Intelligence (AI) can have in space sciences and applications. AI for Space Application presents a hands-on approach to browse in the subject and to learning how to do. AI is not yet fully accepted as a pervasive technol...
| Corporate Author: | |
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| Other Authors: | , , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Edition: | 1st ed. 2023. |
| Series: | Studies in Computational Intelligence,
1088 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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.