Correction of regular errors in the supervised classification results based on object-neighborhood searching.
Xiaobin CaiXiaoling ChenHui LiHao WuZhongyi WuPublished in: IGARSS (2005)
Keyphrases
- supervised classification
- supervised learning
- error detection
- unsupervised learning
- supervised classifiers
- unsupervised clustering
- unsupervised classification
- machine learning
- d objects
- error analysis
- land cover classification
- statistical learning theory
- remotely sensed images
- object model
- error detection and correction
- bayesian classifiers
- land cover
- complex objects
- data objects
- active learning
- k means
- object recognition
- pattern recognition