Machine Learning Techniques for Vertical Lidar-Based Detection, Characterization, and Classification of Aerosols and Clouds: A Comprehensive Survey.
Simone LolliPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning
- machine learning methods
- classification accuracy
- lidar data
- classification algorithm
- support vector machine svm
- object detection
- decision trees
- preprocessing
- machine learning algorithms
- classification scheme
- pattern recognition
- pattern classification
- classification method
- svm classifier
- detection method
- change detection
- automatic detection
- automatic classification
- support vector machine
- machine learning approaches
- support vector
- microcalcification clusters
- robust detection
- feature selection
- feature space
- training set
- feature vectors
- supervised learning
- feature extraction
- decision rules
- neyman pearson
- aerial imagery
- supervised learning algorithms
- hyperspectral images
- classification process
- high resolution
- false alarms
- classification models
- text classification
- model selection
- point cloud
- detection rate
- cloud computing
- classification rules
- anomaly detection