A Machine Learning System for Recognizing Subclasses (Demo)
Conference
·
OSTI ID:1050940
- ORNL
Thematic information extraction from remote sensing images is a complex task. In this demonstration, we present *Miner machine learning system. In particular, we demonstrate an advanced subclass recognition algorithm that is specifically designed to extract finer classes from aggregate classes.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- Work for Others (WFO)
- DOE Contract Number:
- DE-AC05-00OR22725
- OSTI ID:
- 1050940
- Resource Relation:
- Conference: International Conference on Computing for Geospatial Research and Applications (Com.Geo), DC, DC, USA, 20120701, 20120703
- Country of Publication:
- United States
- Language:
- English
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