Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 10, Issue 1, 2017, Pages 29-44

  Kurte, Kuldeep R ^a   Durbha, Surya S ^a   King, Roger L ^b   Younan, Nicolas H ^b   Vatsavai, Rangaraju ^c  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

^c North Carolina State University   (United States)

Author keywords

Description logic (DL); direction relations; image retrieval; linked data; reasoning; region connection calculus (RCC 8); resource description framework (RDF); semantic web rules language (SWRL); SPARQL; spatial image information mining (SIIM); spatial relations; topological relations; Web ontology language (OWL)

Indexed keywords

DISASTERS; FLOODS; IMAGE RETRIEVAL; LAND USE; OBSERVATORIES; REMOTE SENSING; SEMANTIC WEB; SEMANTICS; TOPOLOGY; WORLD WIDE WEB;

CURRENT LIMITATION; DISASTER SITUATIONS; EARTH OBSERVATION DATA; IMAGE INFORMATION MINING; RESOURCE DESCRIPTION FRAMEWORK; SENSOR TECHNOLOGIES; SPATIAL CONFIGURATION; SPATIAL RELATIONSHIPS;

SEARCH ENGINES;

DATA MINING; DATABASE; DISASTER MANAGEMENT; IMAGE PROCESSING; LAND COVER; LAND USE CHANGE; REMOTE SENSING; SPATIAL DATA; WORLD WIDE WEB;

EID: 84966560066     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2547992     Document Type: Article

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