Semi-Supervised Segmentation Framework Based on Spot-Divergence Supervoxelization of Multi-Sensor Fusion Data for Autonomous Forest Machine Applications.
Jian-Lei KongZhen-ni WangXue-bo JinXiao-Yi WangTing-Li SuJian-Li WangPublished in: Sensors (2018)
Keyphrases
- data sets
- high quality
- data distribution
- data sources
- semi supervised
- data collection
- synthetic data
- data analysis
- training data
- pairwise
- probability distribution
- multi sensor fusion
- volume data
- multi sensor
- missing data
- infrared
- data mining techniques
- pattern recognition
- similarity measure
- image segmentation
- feature selection