Using airborne lidar and machine learning to predict visibility across diverse vegetation and terrain conditions.
Katherine A. MistickMichael J. CampbellMatthew P. ThompsonPhilip E. DennisonPublished in: Int. J. Geogr. Inf. Sci. (2023)
Keyphrases
- machine learning
- lidar data
- urban areas
- remote sensing
- digital elevation models
- remotely sensed
- multiresolution
- data mining
- learning algorithm
- natural language processing
- machine learning methods
- infrared
- satellite images
- hyperspectral
- learning tasks
- sufficient conditions
- knowledge acquisition
- natural language
- pattern recognition
- three dimensional
- urban environments
- aerial imagery
- elevation data
- inductive learning
- ground surface
- real world
- machine learning algorithms
- computational intelligence
- support vector machine
- reinforcement learning
- decision trees
- neural network
- inductive logic programming
- multispectral
- learning systems
- machine learning approaches
- text mining
- environmental conditions
- information extraction
- feature selection
- environmental variables