7th International Conference, SINC 2023, Wuhan, China, October 12–13, 2023, Revised Selected Papers Yu, Quan. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access XII, 166 p. 77 illus., 67 illus. in color. online resource. This book constitutes revised selected papers from the thoroughly refereed proceedings of the 7th International Conference on Space Information Network, SINC 2023, held in Wuhan, China, during October 12–13, 2023. The 8 full papers and 5 short papers included in this book were carefully reviewed and selected from 73 submissions. The papers present the latest research in the fields of space information networks. A System-Level Entity-in-the-Loop Simulation Platform for Space-Terrestrial Integrated Network -- A Content-Based Generator Method for Vessel Detection -- Applications of Deep Learning in Satellite Communication: A Survey -- Energy-constrained model pruning for efficient in-orbit object detection in optical remote sensing images -- Cooperative Beam Hopping for LEO Constellation Network -- IP Tunneling Based for Mobility Management in LEO Constellation Network -- Remote sensing image fusion method based on Retinex model and hybrid attention mechanism -- A Multi-Branch Hierarchical Feature Extraction Network Combining Sentinel-1 and Sentinel-2 for Yellow River Delta Wetlands Classification -- A Reliability-Amended-Based Controller Placement Method for LEO Satellite Networks -- Performance Analysis of Maximum-Likelihood Decoding of Polar Codes -- An Efficient Transmission-Reception Scheme for LoRa-Based Uplink Satellite IoT Communications -- Remote sensing landslide hazard risk analysis based on attention fusion -- A Multi-UAVs Cooperative Spectrum Sensing Method based on Improved IDW Algorithm. edited by Quan Yu. Computer networks  Application software Coding theory Information theory Computer systems Machine learning Computer Communication Networks Computer and Information Systems Applications Coding and Information Theory Computer System Implementation Machine Learning TK5105.5-5105.9 9789819715688 https://doi.org/10.1007/978-981-97-1568-8 https://doi.org/10.1007/978-981-97-1568-8 240327 20251030111749.0 978-981-97-1568-8