A Geographic Standards Based Metamodel to Formalize Spatio-temporal Knowledge in Remote Sensing Applications

Autor:	Christelle Pierkot
Rok vydání:	2012
Předmět:	Geographic information system Remote sensing application business.industry Computer science media_common.quotation_subject computer.software_genre Data science Modularity Adaptability Field (geography) Metamodeling Range (mathematics) Conceptual framework Data mining business computer media_common
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642339981 ER Workshops
Popis:	Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatio-temporal phenomena in a range of several disciplines, e.g. environment and health. Thus, remote-sensing experts must handle various and complex image sets for their interpretations. Additionally, the GIS community has heavily worked on describing spatio-temporal features, and standard specifications nowadays provide design foundations for GIS software and spatial databases. We argue that this spatio-temporal knowledge and expertise would provide invaluable support for the field of image interpretation. As a result, we propose a high level conceptual framework, based on existing and standardized approaches, offering enough modularity and adaptability for representing the various dimensions of spatio-temporal knowledge.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::24394434c5ccfd3b3912f16aeeaa0d08 https://doi.org/10.1007/978-3-642-33999-8_36 Zobrazit plný text záznamu