Title :
Categorization based Relevance Feedback Search Engine for Earth Observation Images Repositories
Author :
Costache, Mihai ; Maitre, Henri ; Datcu, Mihai
Author_Institution :
Telecom Paris, GET, Paris
fDate :
July 31 2006-Aug. 4 2006
Abstract :
Presently Earth observation (EO) satellites acquire huge volumes of high resolution images very much over-passing the capacity of the users to access the information content of the acquired data. Thus, in addition to the existing methods for EO data and information extraction, new methods and tools are needed to explore and help to discover the information hidden in large EO image repositories. This article presents a categorisation based Relevance Feedback (RF) search engine for EO images repositories The developed method is presented as well results obtained for a SPOT5 satellite image database.
Keywords :
geophysical techniques; geophysics computing; relevance feedback; remote sensing; search engines; very large databases; visual databases; EO data extraction; Earth observation images repositories; SPOT5 satellite image database; categorization based relevance feedback search engine; high resolution images; large EO image repositories; remote sensing images; Earth; Feedback; Filters; Image databases; Image retrieval; Radio frequency; Satellites; Search engines; Support vector machine classification; Support vector machines;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.8
