Paper
23 November 2009 Image fusion for ALOS imagery with wavelet transformation
Author Affiliations +
Abstract
ALOS is a high performance satellite sensor; the visible spectrum component can replace SPOT imagery. The paper fuses ALOS image with wavelet transform and local deviation. Wavelet transform can decompose image into low-frequency part and high-frequency part, condition manner will discard the low-frequency part or high-frequency part, and so the fusion result is general. Local deviation can hold low-frequency information, and associate the high-frequency information of multispectral and panchromatic image. The result shows that wavelet transform with local deviation can improve the performance of fusion image.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianping Pan "Image fusion for ALOS imagery with wavelet transformation", Proc. SPIE 7508, 2009 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications, 75080S (23 November 2009); https://doi.org/10.1117/12.837454
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KEYWORDS
Image fusion

Wavelet transforms

Wavelets

Linear filtering

Distortion

Image filtering

Satellite imaging

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