A5091958568- Soil Moisture and Remote Sensing
- Advanced SAR Imaging Techniques
- Machine Learning and ELM
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced Battery Technologies Research
- Advanced Algorithms and Applications
Xi’an University of Posts and Telecommunications
2022-2024
Although deep learning-based methods have made remarkable achievements in polarimetric synthetic aperture radar (PolSAR) image classification, these require a large number of labeled samples. However, for PolSAR it is difficult to obtain samples, which requires extensive human labor and material resources. Therefore, new classification method based on multi-scale contrastive learning proposed, can achieve good results with only small During the pre-training process, we propose network model...
The uncertainty and non-linearity of coal consumption in the ceramic production process are difficult to predict due weak generalization ability current single method. In order improve match supply demand process, this paper proposes a coupling model Particle Swarm Optimization (PSO) Extreme Learning Machine (ELM) consumption. First, network structure is determined, then input layer weights hidden thresholds ELM optimized using PSO effectively prediction effect accuracy. Finally, method was...