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Proceedings Paper

Application of rotation- and translation-invariant overcomplete wavelets to the registration of remotely sensed imagery
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Paper Abstract

A wavelet-based image registration approach has previously been proposed by the authors. In this work, wavelet coefficient maxima obtained from an orthogonal wavelet decomposition using Daubechies filters were utilized to register images in a multi-resolution fashion. Tested on several remote sensing datasets, this method gave very encouraging results. Despite the lack of translation- invariance of these filters, we showed that when using cross-correlation as a feature matching technique, features of size larger than twice the size of the filters are correctly registered by using the low-frequency subbands of the Daubechies wavelet decomposition. Nevertheless, high- frequency subbands are still sensitive to translation effects. In this work, we are considering a rotation- and translation-invariant representation developed by E. Simoncelli and integrate it in our image registration scheme. The two types of filters, Daubechies and Simoncelli filters, are then being compared from a registration point of view, utilizing synthetic data as well as data from the Landsat/Thematic Mapper and from the NOAA Advanced Very High Resolution Radiometer.

Paper Details

Date Published: 22 March 1999
PDF: 11 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342921
Show Author Affiliations
Jacqueline Le Moigne, NASA Goddard Space Flight Ctr. (United States)
Ilya Zavorine, Univ. of Maryland/College Park and NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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