Paper
7 November 2008 A new remotely sensed image fusion using wavelet packet transform with the best basis
Zhoulong Wang, Haijiang Wang, Anding Zhang, Mengquan Wu
Author Affiliations +
Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714713 (2008) https://doi.org/10.1117/12.813240
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
In the process of remote-sensed image fusion with wavelet packet transform, wavelet basis with different properties can exhibit different fusion performance. It is significant to find the best wavelet packet basis and apply it in the process. However, for image fusion, best basis searching algorithm must works within two wavelet packet trees, in the case that the present algorithm only works within one tree. The paper firstly proposes a new searching algorithm working in two trees, then realizes a new image fusion method using wavelet packet transform with the best basis that is developed from the new algorithm. Experiment testifies: under the fusion rule based on texture, the method develops more advantage of wavelet packet transform, and gains a better fusion performance compared with other image fusion method using wavelet packet transform (including wavelet transform).
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhoulong Wang, Haijiang Wang, Anding Zhang, and Mengquan Wu "A new remotely sensed image fusion using wavelet packet transform with the best basis", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714713 (7 November 2008); https://doi.org/10.1117/12.813240
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Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Image fusion

Algorithm development

Image processing

Data fusion

Wavelet transforms

Image compression

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