A5087854797- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Remote Sensing and Land Use
- Inertial Sensor and Navigation
- Radar Systems and Signal Processing
- Robotics and Sensor-Based Localization
- Anomaly Detection Techniques and Applications
- Spacecraft Dynamics and Control
- Astronomical Observations and Instrumentation
- Autonomous Vehicle Technology and Safety
- Gait Recognition and Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Space Satellite Systems and Control
- Time Series Analysis and Forecasting
- Advanced Measurement and Detection Methods
Shanxi Agricultural University
2024-2025
Zhejiang Lab
2023
Space Engineering University
2019
Rapid and accurate leaf area index (LAI) determination is important for monitoring daylily growth, yield estimation, field management. Because of low estimation accuracy empirical models based on single-source data, we proposed a machine-learning algorithm combining optical microwave remote-sensing data as well the random forest regression (RFR) importance score to select features. A high-precision LAI model daylilies was constructed by optimizing feature combinations. The RFR screened top...
<title>Abstract</title> Rapid and accurate leaf area index (LAI) determination is important to monitoring daylily growth, yield estimation, field management. Because of low estimation accuracy empirical models based on single-source data, we proposed a machine-learning algorithm combining optical microwave remote-sensing the random forest regression (RFR) importance score select features. A high-precision LAI model for daylilies was constructed by optimizing feature combinations. The RFR...
Considering several sources that cause global position system (GPS) interference in civil aviation and the challenges faced by recognition algorithms terms of efficiency accuracy, we propose an improved You Only Look Once (YOLO)v7‐CHS algorithm (YOLOv7‐CHS) investigate its effectiveness identifying GPS signals different types signals. First, continuous wavelet transform (CWT) is introduced as a method for processing analyzing time–frequency (TF) domain to effectively obtain their temporal...
Abstract Selecting accurate Radar Cross Section (RCS) sequence historical data has an important impact on RCS-based spatial target attitude anomaly detection. RCS is related to factors such as satellite shape size, and radar observation angle, a sensitive function of angle variation. In this paper, the influence geometric relationship analysed. Aiming at orbital regression characteristics unique targets, screening method based dynamic time programming (DTW) distance proposed. According...
In automatic train operation, non-contact obstacle detection systems have replaced traditional manual sighting verification. One system usually combines multiple sensors including high-definition cameras, lasers, etc., and these require regular demarcation and/or calibration. However, displacement of would happen due to operational vibration, displaced need be figured out second calibrated during the maintenance. Some current methods special equipment experienced maintenance workers; hence...