Lingdong Geng

ORCID: 0000-0003-4607-4104
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About
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Research Areas
  • Advanced Algorithms and Applications
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Advanced Sensor and Control Systems
  • Remote-Sensing Image Classification
  • Real-time simulation and control systems

Aerospace Information Research Institute
2022-2025

The built-in test (BIT) functionality of the aircraft braking system is directly related to flight safety. In system, designing a reasonable and effective BIT fault diagnosis method crucial for ensuring safe landing. proposed in this article addresses issue wheel speed sensor faults systems. By leveraging informational correlations between multi-sensor signals parameters, approach uses small intelligent model evidence fusion techniques accurately identify true faults, normal conditions, or...

10.1049/icp.2024.3260 article EN IET conference proceedings. 2025-01-01

Superpixel segmentation is widely used in polarimetric synthetic aperture radar (PolSAR) image classification. However, the classification method using simple majority voting cannot easily handle evidence conflicts a single superpixel. At present, there no to evaluate quality of superpixel To solve above problems, this paper proposes hybrid model based on entropy discrimination (SED), and constructs two-level cascade classifier. Firstly, light gradient boosting machine (LGBM) was process...

10.3390/rs14164116 article EN cc-by Remote Sensing 2022-08-22
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