Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves.
Chuanpeng ZhaoCheng-Zhi QinPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- remote sensing
- binary classification
- multi class
- change detection
- support vector
- remote sensing images
- multispectral
- remote sensing imagery
- learning problems
- cost sensitive
- remote sensing data
- generalization error
- support vector machine
- hyperspectral
- satellite images
- high resolution
- image analysis
- image processing
- multi label
- satellite data
- earth observation
- class imbalance
- automatic image registration
- ensemble methods
- prediction accuracy
- remote sensed images
- learning tasks
- active learning
- pairwise
- data distribution
- cross validation
- class labels
- model selection
- image classification
- supervised learning
- object recognition
- similarity measure