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Proceedings Paper

Bag of words model using ICA components for high resolution satellite image characterization
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Paper Abstract

In this paper, we present a model to define an analogy between text and image data using ICA basis functions and we apply it to index Very High Resolution (VHR) satellite images. We introduce our text-image analogy by defining visual documents, visual words, visual vocabulary and labeling each word of document using vocabulary words. Further, we propose a classification using a simple Bayesian method to evaluate our model for VHR satellite image characterization. The results for two types of vocabularies, one based on visual words clustering and other based on obtaining ICA components for each class, is compared for a variety of natural and man-made scenes.

Paper Details

Date Published: 28 September 2009
PDF: 9 pages
Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747718 (28 September 2009); doi: 10.1117/12.830369
Show Author Affiliations
Payam Birjandi, Telecom ParisTech (France)
Mihai Datcu, Telecom ParisTech (France)
Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)


Published in SPIE Proceedings Vol. 7477:
Image and Signal Processing for Remote Sensing XV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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