Qualitative spatial reasoning methodology to determine the particular domain of a set of geographic objects

Ontologies to interpret remote sensing images: why do we need them?

“…Geographic Information Science, in particular, has been the field in which most QSTR models have been applied, for example, Allen's Temporal Interval Relations calculus (Allen 1983), Region Connection Calculus (RCC) (Randell, Cui, and Cohn 1992), 9-Intersection model (Egenhofer 1995), etc. In the literature, examples of research works in GIS can be found in which formal ontologies are defined taking qualitative spatial reasoning models into account: the spatio-temporal ontology for representing the changing of historical places developed by Hyvönen et al (2011); a high-level conceptual metamodel, based on QSR approaches that can be used in the remote sensing domain as a framework to formalize spatio-temporal knowledge (Pierkot et al 2013); a method to perform qualitative spatial reasoning in geospatial representations explicitly formalized by means of an application ontology proposed by Torres et al (2016). In other fields, such as robotics and computer vision, other approaches have also dealt with the challenge of building a description-logics ontology using qualitative spatial concepts for digital image categorization (see QImageOntology by Falomir et al 2011).…”

Collaborative spatial reasoning for environment mapping using unmanned aerial vehicles

“…It is found the use of QSR in geographic applications, such as in the works of (SCHULTZ; AMOR, 2006;TORRES et al, 2016;WALLGRÜN, 2010), aiming at learning topological maps in unknown environments, methods to deal with ambiguity in topological information, in addition to human-computer and systems integration of geographic information.…”