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14 August 2019 Remote sensing image fusion algorithm based on à trous wavelet transform and HIS transform
Hongqiang Xin, Liangjie Feng
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 1117908 (2019) https://doi.org/10.1117/12.2539667
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
The image fusion of optical images and synthetic aperture radar (SAR) images are of great significance. By using the complementary advantages of both, the target detection and recognition can be relatively simple and the accuracy will be relatively improved. The image information reflected by the optical image and the SAR image is very different, and the image fusion can combine the two information to give greater advantages. Aiming at the limitations of single sensor in terms of spectrum and spatial resolution, the multi-source sensor fusion technology can maximize the information description of the target scene. The fusion experiment and evaluation of optical images and SAR images are carried out by combining àtrous wavelet transform and IHS transform, and compared with the traditional HIS transform and wavelet transform fusion methods. The results show that the fusion of àtrous wavelet and HIS transform is the best, and the advantages of two single fusion methods are absorbed. It not only improves the spatial detail expression of the original image, but also preserves the spectral information of the original image, providing more accurate data for remote sensing applications.
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Hongqiang Xin and Liangjie Feng "Remote sensing image fusion algorithm based on à trous wavelet transform and HIS transform", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117908 (14 August 2019); https://doi.org/10.1117/12.2539667
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KEYWORDS
Wavelets
Wavelet transforms
Image filtering
Distortion
Visualization
3D image reconstruction
Principal component analysis
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