Abstract
Abstract. Spatial relations among simple features can be used to characterize complex geospatial features. These spatial relations are often represented using linguistic terms such as near, which have inherent vagueness and imprecision. Fuzzy logic can be used to modeling fuzziness of the terms. Once simple features are extracted from remote sensing imagery, degree of satisfaction of spatial relations among these simple features can be derived to detect complex features. The derivation process can be performed in a distributed service environment, which benefits Earth science society in the last decade. Workflow-based service can provide ondemand uncertainty-aware discovery of complex features in a distributed environment. A use case on the complex facility detection illustrates the applicability of the fuzzy logic-supported service-oriented approach.
Highlights
More than 150 Earth observation satellites are currently on orbits measuring the state of the Earth (Tatem, 2008)
We have investigated how complex feature semantics, in particular spatial relations among simple features, can be exploited to guide workflow modeling in a service computing environment
The functional representation of the workflow implies that when elementary features are generated from remote sensing images, the spatial analysis services with specific spatial operators need only be defined appropriately to compute spatial relations in order to find the sites of the complex features
Summary
More than 150 Earth observation satellites are currently on orbits measuring the state of the Earth (Tatem, 2008). A nuclear facility consists of a group of ground features, e.g., buildings for hosting fuel concentration machines, cooling towers, transportation roads, and fences. Such spatial semantics, or named spatial patterns (Yang et al, 2010, 2011) can be used to discover complex geospatial features from imagery. The degree of a feature to satisfy those constraints is determined using a conjunctive manner (i.e. a t-norm) (Zimmermann, 2001) of degrees for those relations, which is implemented as a service A use case on the complex facility detection illustrates the applicability of the service-oriented approach
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