Knowledge centred Earth Observation: Feature Extraction

Author

De Miguel, Amaia ; Schwarz, Gottfried ; Datcu, Mihai ; Colapicchioni, Andrea

Author_Institution

German Aerosp. Center (DLR), Oberpfaffenhofen

fYear

2007

fDate

23-28 July 2007

Firstpage

417

Lastpage

420

Abstract

Nowadays huge volumes of Earth Observation data are available and increasing every day. Users are faced with the problem of having to extract and interpret information in large volumes of data, with the additional problem of images being annotated only by simple descriptors. Therefore, in this paper we present the Knowledge-centered Earth Observation system which offers interactive probabilistic information mining, among other functionalities, and two Support Vector Machine based Feature Extraction services integrated in the system.

Keywords

data acquisition; data mining; feature extraction; geophysics computing; information retrieval; feature extraction; information extraction; interactive probabilistic information mining; knowledge centred Earth observation; support vector machine; Data mining; Earth; Feature extraction; Image analysis; Information retrieval; Iron; Portals; Support vector machine classification; Support vector machines; Web services; FE; KEO; SVM;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4422819

Filename

4422819