A5009110179- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- Industrial Vision Systems and Defect Detection
- Remote-Sensing Image Classification
- Robot Manipulation and Learning
- Image and Signal Denoising Methods
- Nematode management and characterization studies
- Image Processing Techniques and Applications
- Plant Disease Management Techniques
- Photovoltaic System Optimization Techniques
- Plant Virus Research Studies
Tiangong University
2024
Hebei University of Technology
2022-2023
Due to the multi-scale characteristics of defects and strong background interference, automation solar cell surface defect detection is still a challenge. To address this problem, paper proposes novel ohject detector called BPGA-Detector which consists two parts: Bidirectional-Path Feature Pyramid Network (BPFPN) Group-wise Attention Module (GAM). The combines multiscale features using bidirectional-path feature fusion method that structured by connecting bottom-up path pyramid network...
Acquiring precise change map for synthetic aperture radar (SAR) images poses challenges due to the absence of labelled datasets and presence speckle noise interference. This paper presents a two-stage fusion strategy coupled with capsule network classification detection method. Initially, enhance structure areas within difference image (DI), we propose an energy ratio (ER) algorithm based on mean (MR). Subsequently, employing integrating multiplication discrete wavelet transform (DWT), fuse...