1 December 1995 Satellite image multiscale representation by matching pursuit
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Proceedings Volume 2646, Digital Photogrammetry and Remote Sensing '95; (1995); doi: 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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Serir, Boualem Sansal, Abdellatif Seghier, "Satellite image multiscale representation by matching pursuit", Proc. SPIE 2646, Digital Photogrammetry and Remote Sensing '95, (1 December 1995); doi: 10.1117/12.227861; https://doi.org/10.1117/12.227861
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KEYWORDS
Chemical species

Image compression

Associative arrays

Earth observing sensors

Satellite imaging

Satellites

Image processing algorithms and systems

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