The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data.
Giles M. FoodyMahesh PalDuccio RocchiniCarol X. Garzon-LopezLucy BastinPublished in: ISPRS Int. J. Geo Inf. (2016)
Keyphrases
- data quality
- image data
- data processing
- data cleaning
- data mining techniques
- data sets
- privacy guarantees
- data analysis
- training examples
- noisy data
- data privacy
- database
- high dimensional data
- information loss
- test images
- data transformation
- poor quality
- cell suppression
- quality metrics
- quality assessment
- original data
- supervised learning
- data warehouse
- knowledge discovery
- data sources
- training data
- project management
- missing data
- data reduction
- privacy preserving
- high resolution