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Remote sensing image fusion algorithm based on à trous wavelet transform and HIS transform
Xin, Hongqiang1; Feng, Liangjie2
2019
会议名称11th International Conference on Digital Image Processing, ICDIP 2019
会议录名称Eleventh International Conference on Digital Image Processing, ICDIP 2019
卷号11179
会议日期2019-05-10
会议地点Guangzhou, China
出版者SPIE
产权排序1
摘要

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. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词Image fusion àtrous wavelet transform HIS transform optical image SAR image
作者部门空间光学技术研究室
DOI10.1117/12.2539667
收录类别EI ; CPCI
ISBN号9781510630758
语种英语
ISSN号0277786X;1996756X
WOS记录号WOS:000511106700007
EI入藏号20193907475146
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/31871
专题空间光学技术研究室
作者单位1.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China;
2.School of Physics and Information Technology, Shaanxi Normal University, Xi'an; 710119, China
推荐引用方式
GB/T 7714
Xin, Hongqiang,Feng, Liangjie. Remote sensing image fusion algorithm based on à trous wavelet transform and HIS transform[C]:SPIE,2019.
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