Wet-GC: A Novel Multimodel Graph Convolutional Approach for Wetland Classification Using Sentinel-1 and 2 Imagery With Limited Training Samples.
Hamid JafarzadehMasoud MahdianPariEric W. GillPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2022)
Keyphrases
- training samples
- feature space
- training set
- supervised learning
- training data
- decision boundary
- hyperplane
- learning algorithm
- nearest neighbor classifier
- number of training samples
- test sample
- decision function
- discriminative information
- face images
- high dimensional
- representative samples
- training examples
- computer vision
- training dataset
- kernel matrix
- classification accuracy
- unsupervised learning
- decision trees
- class labels
- database
- binary classifiers
- small number of samples
- positive training examples
- support vectors
- text classification
- feature extraction
- facial expressions
- feature vectors