Classification tree analysis (CTA) provides an effective suite of algorithms for classifying remotely sensed data, but it has the limitations of (1) not searching for optimal tree structures and (2) being adversely affected by outliers, inaccurate training data, and unbalanced data sets. Stochastic
โฆ LIBER โฆ
Extensions of linear discriminant analysis for statistical classification of remotely sensed satellite imagery
โ Scribed by Switzer, Paul
- Publisher
- Springer
- Year
- 1980
- Tongue
- English
- Weight
- 614 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0020-5958
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