Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil.
Bruno SchultzMarkus ImmitzerAntônio Roberto FormaggioIeda Del'Arco SanchesAlfredo José Barreto LuizClement AtzbergerPublished in: Remote. Sens. (2015)
Keyphrases
- support vector
- pattern recognition
- automatic classification
- classification accuracy
- united states
- segmentation algorithm
- classification scheme
- feature extraction
- feature vectors
- statistical classification
- image classification
- robust classification
- multiscale
- image segmentation
- decision trees
- spatial and temporal
- feature selection
- classification algorithm
- segmentation method
- machine learning
- pixel classification
- features extraction
- supervised learning
- training set
- image processing
- segmentation accuracy
- class labels
- classification models
- classification method
- support vector machine svm
- model selection
- support vector machine
- spatio temporal
- region growing
- automatic segmentation
- decision rules
- medical images
- textural features
- feature extraction and classification
- temporal characteristics
- multivariate temporal data