Tree Crowns Segmentation and Classification in Overlapping Orchards Based on Satellite Images and Unsupervised Learning Algorithms.
Abdellatif MoussaidSanaa El FkihiYahya ZennayiPublished in: J. Imaging (2021)
Keyphrases
- satellite images
- supervised learning
- learning algorithm
- remote sensing
- machine learning algorithms
- machine learning
- unsupervised learning
- remotely sensed
- multispectral
- change detection
- landsat tm
- supervised classification
- classification algorithm
- support vector machine
- unsupervised clustering
- decision tree learning
- pattern recognition
- image analysis
- support vector
- decision tree learning algorithm
- high resolution satellite images
- feature extraction
- multi spectral images
- training samples
- high resolution
- land cover
- training set
- satellite imagery
- fully unsupervised
- medical images
- quantitative evaluation
- remote sensing images
- classification rules
- medical imaging
- semi supervised
- restricted boltzmann machine
- tree structure
- text classification
- image segmentation
- digital elevation models
- feature space
- segmentation method
- segmentation algorithm
- edge detection