Yilin Liu

ORCID: 0009-0009-4617-0703
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About
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Research Areas
  • Advanced Neural Network Applications
  • Advanced SAR Imaging Techniques
  • Industrial Vision Systems and Defect Detection
  • Optical Systems and Laser Technology
  • Meteorological Phenomena and Simulations
  • Infrared Target Detection Methodologies
  • Atmospheric aerosols and clouds
  • Geophysics and Gravity Measurements
  • Calibration and Measurement Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques

Ocean University of China
2024

Chinese Academy of Sciences
2024

University of Chinese Academy of Sciences
2024

Southwest Jiaotong University
2024

Aerospace Information Research Institute
2024

Researchers have explored various methods to fully exploit the all-weather characteristics of Synthetic aperture radar (SAR) images achieve high-precision, real-time, computationally efficient, and easily deployable ship target detection models. These include Constant False Alarm Rate (CFAR) algorithms deep learning approaches such as RCNN, YOLO, SSD, among others. While these outperform traditional in SAR detection, challenges still exist handling arbitrary distributions small features...

10.3390/rs16050913 article EN cc-by Remote Sensing 2024-03-05

Abstract The authors introduce the intactness‐aware Mosaic data augmentation strategy, designed to tackle challenges such as low accuracy in detecting defects insulation pull rods, limited timeliness intelligent analysis, and absence of a comprehensive database for information on rod defects. proposed strategy incorporates YOLOv5s algorithm rods. Initially, network was constructed, dataset containing photos rods with white spots, fractures, impurities, bubble flaws compiled capture images...

10.1049/hve2.12447 article EN cc-by-nc High Voltage 2024-05-21

Abstract A disposable miniature radiometer has been developed using optical filters for spectral separation. Limitations in accurately retrieving irradiance from the broad-band measurement results can be attributed to filters. This paper proposes an algorithm filter data (SIBOF algorithm) achieve precise retrieved through four correction steps. First, uses energy ratio method adjust narrow-band data. The is derived reference lamp spectrum and measured transmissivities. Second, corrects...

10.1007/s44295-024-00044-1 article EN cc-by Intelligent Marine Technology and Systems 2024-10-08
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