ON THE VERIFICATION AND VALIDATION OF GEOSPATIAL IMAGE ANALYSIS ALGORITHMS
Verification and validation (V&V) of geospatial image analysis algorithms is a difficult task and is becoming increasingly important. While there are many types of image analysis algorithms, we focus on developing V&V methodologies for algorithms designed to provide textual descriptions of geospatial imagery. In this paper, we present a novel methodological basis for V&V that employs a domain-specific ontology, which provides a naming convention for a domain-bounded set of objects and a set of named relationship between these objects. We describe a validation process that proceeds through objectively comparing benchmark imagery, produced using the ontology, with algorithm results. As an example, we describe how the proposed V&V methodology would be applied to algorithms designed to provide textual descriptions of facilities
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1022436
- Report Number(s):
- PNNL-SA-73996; NN2001000; TRN: US201117%%863
- Resource Relation:
- Conference: Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 25-30, 2010, Honolulu, Hawaii
- Country of Publication:
- United States
- Language:
- English
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