User-oriented content labeling in remote sensing image archives

Author

Schroder, Michael ; Seidel, Klaus ; Datcu, Mihai

Author_Institution

Commun. Technol. Lab., Fed. Inst. of Technol., Zurich, Switzerland

Volume

2

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1019

Abstract

In this paper we present an intuitive way of semantic labeling of image content suited for query by image content from remote sensing image databases. The space of image content understanding is separated into a syntactic and a semantic space. The syntactic space contains objective, signal-oriented classes of certain types of structures and the semantic space contains subjective, user-oriented content labels. We expand on the Bayesian inference between the two spaces and provide examples for semantic content labeling in both optical (Landsat TM) and synthetic aperture radar (XSAR) data

Keywords

Bayes methods; geophysics computing; image processing; inference mechanisms; radar imaging; remote sensing; remote sensing by radar; synthetic aperture radar; visual databases; Bayesian inference; Landsat TM data; XSAR data; image content; image content understanding; objective signal-oriented classes; optical data; remote sensing image archives; remote sensing image databases; semantic content labeling; semantic labeling; semantic space; subjective user-oriented content labels; syntactic space; synthetic aperture radar data; Adaptive optics; Bayesian methods; Communications technology; Image databases; Labeling; Optical sensors; Pixel; Remote sensing; Satellites; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.699659

Filename

699659