Improving the Computational Performance of Ontology-Based Classification Using Graph Databases

Improving the Computational Performance of Ontology-Based Classification Using Graph Databases

The increasing availability of very high-resolution remote sensing imagery (i.e., from satellites, airborne laser scanning, or aerial photography) represents both a blessing and a curse for researchers. The manual classification of these images, or other similar geo-sensor data, is time-consuming a...

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Bibliographic Details
Main Authors: Thomas J. Lampoltshammer, Stefanie Wiegand
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Remote Sensing
Subjects:
ontology
graph database
Neo4j
remote sensing
classification
Online Access:http://www.mdpi.com/2072-4292/7/7/9473

Internet

http://www.mdpi.com/2072-4292/7/7/9473

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