Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data
(2022)
Journal Article
Foody, G. M. (2022). Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data. Remote Sensing, 14(21), Article 5380. https://doi.org/10.3390/rs14215380
Ground reference data are typically required to evaluate the quality of a supervised image classification analysis used to produce a thematic map from remotely sensed data. Acquiring a suitable ground data set for a rigorous assessment of classificat... Read More about Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data.