Satellite image multiscale representation by matching pursuit

A. Serir; Boualem Sansal; Abdellatif Seghier

doi:10.1117/12.227861

1 December 1995 Satellite image multiscale representation by matching pursuit

A. Serir, Boualem Sansal, Abdellatif Seghier

Proceedings Volume 2646, Digital Photogrammetry and Remote Sensing '95; (1995) https://doi.org/10.1117/12.227861
Event: Digital Photogrammetry and Remote Sensing '95, 1995, St. Petersburg, Russian Federation

Abstract

In this paper, we introduce an extension to 2-D case of Mallat's algorithm called 'Matching Pursuit'. This algorithm decomposes the image into a linear expansion of waveforms that belong to a redundant dictionary of functions. Using Gabor's space-frequency atoms and a test on the residual image norm, an image compression rate of 31.59 is also reached and a segmentation approach could be realized.

Citation Download Citation

A. Serir, Boualem Sansal, and Abdellatif Seghier "Satellite image multiscale representation by matching pursuit", Proc. SPIE 2646, Digital Photogrammetry and Remote Sensing '95, (1 December 1995); https://doi.org/10.1117/12.227861

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