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Remote sensing image fusion algorithm based on à trous wavelet transform and HIS transform
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Paper 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.

Paper Details

Date Published: 14 August 2019
PDF: 7 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117908 (14 August 2019); doi: 10.1117/12.2539667
Show Author Affiliations
Hongqiang Xin, Xi'an Institute of Optics and Precision Mechanics of CAS (China)
Liangjie Feng, Xi'an Institute of Optics and Precision Mechanics of CAS (Chile)


Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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