An object-based meta knowledge model for a distributed image interpretation system

G.O.A.P. Costa*, P. Hofmann, P.N. Happ, R.Q. Feitosa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper introduces the interpretation meta knowledge model devised for the InterCloud platform. InterCloud is a remote sensing image interpretation platform designed to run on computer clusters or on cloud computing infrastructure. The system is capable of distributing data processing tasks, such as segmentation, feature extraction and classification procedures over the processing elements of a computer grid in a transparent way to the user. Moreover, InterCloud can exploit the potential scalability offered by commercial cloud computing infrastructure services, enabling the interpretation of very large remote sensing datasets in an efficient way. The proposed meta model comprises two types of knowledge: declarative and procedural. The former describes the characteristics of the classes of objects expected to be found in the scene to be interpreted, and the relationships among those classes. The latter describes the functions and procedures that should be applied over the data in order to achieve the desired interpretation. In the proposed knowledge model, the user expresses declarative knowledge through the definition of an ontology, so-called descriptive ontology, which conveys the formal naming and definition of the properties and interrelationships of the object classes in a particular application. Procedural knowledge is expressed by the so-called task ontology, which is represented by a directed graph, in which the nodes represent operations over the input images or over the segments generated by segmentation operations. Besides segmentation, crisp or fuzzy classification operations can be defined by the user. The graph edges define the data flow between operations, which are triggered by the control process as soon as their inputs are produced by the preceding operations. In this paper we illustrate the main components of the meta knowledge model through a theoretical application.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016
Subtitle of host publicationSolutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages5
ISBN (Print)978-90-365-4201-2
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
CountryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

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