Kou Peng

ORCID: 0009-0005-5697-1804
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About
Contact & Profiles
Research Areas
  • Space Satellite Systems and Control
  • Spacecraft Dynamics and Control
  • Satellite Communication Systems
  • Advanced Image Fusion Techniques
  • Traditional Chinese Medicine Studies
  • Automated Road and Building Extraction
  • Blind Source Separation Techniques
  • ECG Monitoring and Analysis

Liupanshui Normal University
2024

China Astronaut Research and Training Center
2012

Deep learning has attracted wide attention recently because of its excellent feature representation ability and end-to-end automatic method. Especially in clinical medical imaging diagnosis, the semi-supervised deep model is favored widely used it can make maximum use a limited number labeled data combine with large unlabeled to extract more information knowledge from it. However, scarcity image data, vast size, instability quality directly affect model's robustness, generalization,...

10.1109/access.2024.3367772 article EN cc-by-nc-nd IEEE Access 2024-01-01

Objects in close range formation flight need to be identified before being tracked by radar and other non-cooperation tracking equipments. As the distance between concomitant satellite main is very flight, schedule entering into sight of observation station uncertain, two objects cannot distinguished use orbit parameters schedules station. After analyzing physical moving characteristics them, we propose an identification method mean RCS attitude stability determination. The results show that...

10.1109/isdea.2012.424 article EN 2012-01-01
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