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

Payam Birjandi; Mihai Datcu

doi:10.1117/12.830369

28 September 2009 Bag of words model using ICA components for high resolution satellite image characterization

Payam Birjandi, Mihai Datcu

Proceedings Volume 7477, Image and Signal Processing for Remote Sensing XV; 747718 (2009) https://doi.org/10.1117/12.830369
Event: SPIE Remote Sensing, 2009, Berlin, Germany

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.

Citation Download Citation

Payam Birjandi and Mihai Datcu "Bag of words model using ICA components for high resolution satellite image characterization", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747718 (28 September 2009); https://doi.org/10.1117/12.830369

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