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001469850 001__ 1469850
001469850 003__ OCoLC
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001469850 019__ $$a1384412731
001469850 020__ $$a9783031257551$$q(electronic bk.)
001469850 020__ $$a3031257553$$q(electronic bk.)
001469850 020__ $$z9783031257544
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001469850 0247_ $$a10.1007/978-3-031-25755-1$$2doi
001469850 035__ $$aSP(OCoLC)1384442298
001469850 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF
001469850 049__ $$aISEA
001469850 050_4 $$aTL787
001469850 08204 $$a629.4$$223/eng/20230621
001469850 1112_ $$aInternational Workshop on the Use of Artificial Intelligence for Space Applications$$n(1st :$$d2022 :$$cReggio Calabria, Italy).
001469850 24514 $$aThe use of artificial intelligence for space applications :$$bworkshop at the 2022 International Conference on Applied Intelligence and Informatics /$$cCosimo Ieracitano, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, Francesco Carlo Morabito, editors.
001469850 264_1 $$aCham :$$bSpringer,$$c[2023]
001469850 264_4 $$c©2023
001469850 300__ $$a1 online resource (xi, 449 pages) :$$billustrations (chiefly color).
001469850 336__ $$atext$$btxt$$2rdacontent
001469850 337__ $$acomputer$$bc$$2rdamedia
001469850 338__ $$aonline resource$$bcr$$2rdacarrier
001469850 4901_ $$aStudies in computational intelligence,$$x1860-9503 ;$$vvolume 1088
001469850 500__ $$aInternational conference proceedings.
001469850 5050_ $$aSAR 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.
001469850 506__ $$aAccess limited to authorized users.
001469850 520__ $$aThis 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 technology in space applications because they are often mission-critical and the cost of space equipment and modules raises skepticism on any practical use and reliability. However, it is evident that its potential impact on many aspects is dramatic. Starting from either actual or experimental realizations, the book accompanies the reader through such fascinating subjects like space exploration, autonomous navigation and landing, rover control and guidance on rough surfaces, image analysis automation for planet or star classification, and for space debris avoidance without human intervention. This kind of approach may facilitate further investigations on the same or similar subjects, as the future of space explorations is going toward adopting AI. The intended audience of the book are researchers from academia and space industries and practitioners in related start-ups.
001469850 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 21, 2023).
001469850 650_0 $$aAstronautics$$vCongresses.
001469850 650_0 $$aArtificial intelligence$$vCongresses.
001469850 655_0 $$aElectronic books.
001469850 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001469850 655_7 $$aConference papers and proceedings.$$2lcgft
001469850 7001_ $$aIeracitano, Cosimo,$$eeditor.
001469850 7001_ $$aMammone, Nadia,$$eeditor.
001469850 7001_ $$aDi Clemente, Marco,$$eeditor.
001469850 7001_ $$aMahmud, Mufti,$$eeditor.
001469850 7001_ $$aFurfaro, Roberto,$$eeditor.
001469850 7001_ $$aMorabito, F. C.$$q(Francesco Carlo),$$eeditor.
001469850 7112_ $$aInternational Conference on Applied Intelligence and Informatics$$n(2nd :$$d2022 :$$cReggio Calabria, Italy).
001469850 77608 $$iPrint version: $$z3031257545$$z9783031257544$$w(OCoLC)1360292161
001469850 830_0 $$aStudies in computational intelligence ;$$vv. 1088.$$x1860-9503
001469850 852__ $$bebk
001469850 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-25755-1$$zOnline Access$$91397441.1
001469850 909CO $$ooai:library.usi.edu:1469850$$pGLOBAL_SET
001469850 980__ $$aBIB
001469850 980__ $$aEBOOK
001469850 982__ $$aEbook
001469850 983__ $$aOnline
001469850 994__ $$a92$$bISE