ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery.
Zhenhong DuYuhua GuChuanrong ZhangFeng ZhangRenyi LiuJean SequeiraWeidong LiPublished in: Int. J. Digit. Earth (2017)
Keyphrases
- unsupervised classification
- remotely sensed imagery
- supervised classification
- unsupervised learning
- data clustering
- remote sensing
- clustering ensemble
- hyperspectral images
- satellite images
- k means
- remote sensing data
- remote sensing images
- remotely sensed
- hyperspectral
- multispectral
- document clustering
- change detection
- clustering method
- high spatial resolution
- pattern recognition