Unsupervised classification of satellite imagery: Choosing a good algorithm

International Journal of Remote Sensing

Volumn 23, Issue 11, 2002, Pages 2193-2212

  Duda, T ^a   Canty, M ^a  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY CONTROL; HIERARCHICAL SYSTEMS; NEURAL NETWORKS;

SATELLITE IMAGERY;

MULTISPECTRAL SCANNERS;

ALGORITHM; LAND CLASSIFICATION; REMOTE SENSING; SATELLITE IMAGERY; UNSUPERVISED CLASSIFICATION;

EID: 0037053924     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160110078467     Document Type: Article

References (11)

1. Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data
2. A coefficient of agreement of nominal scales
3. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
4. Algorithms for model-based gaussian hierarchical clustering
5. Unsupervised optimal fuzzy clustering
6. K-means clustering algorithm using the entropy