An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion.
Jorge García-GutiérrezDaniel Mateos-GarcíaMariano GarcíaJosé Cristóbal Riquelme SantosPublished in: Neurocomputing (2015)
Keyphrases
- data fusion
- support vector
- classification accuracy
- multi sensor
- information fusion
- feature selection
- support vector machine
- multi source
- high resolution
- fusion algorithm
- fusion method
- multi sensor data fusion
- fusion methods
- multiple sensors
- decision level
- training examples
- svm classifier
- kernel function
- machine learning
- image classification
- supervised learning
- feature space
- feature vectors
- data model
- information retrieval
- fusion process
- decision trees
- feature extraction
- training set
- data mining
- classification models
- machine learning methods
- classification algorithm
- text classification
- machine learning algorithms
- support vector machine svm