Spatial-spectral fusion of GF-5/GF-1 remote sensing images based on multiresolution analysis

被引：0
|
作者：
Meng X. [1 ]
Sun W. [2 ]
Ren K. [2 ]
Yang G. [2 ]
Shao F. [1 ]
Fu R. [1 ]
机构：
[1] Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo
[2] Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo
来源：
Sun, Weiwei (sunweiwei@nbu.edu.cn) | 1600年 / Science Press卷 / 24期
基金：
中国国家自然科学基金;
关键词：
GF-5; satellite; Large spatial resolution difference; Multi-sensor; Remote sensing; Spatial-spectral fusion;
D O I：
10.11834/jrs.20209214
中图分类号：
学科分类号：
摘要：
This study proposed a multisensor image fusion solution for the GF-5/GF-1 spatial-spectral fusion with large spatial resolution ratio. We aimed to obtain the fused image through step-by-step fusion of multisensor remote sensing images. A unified fusion framework for multisensor image fusion was derived on the basis of step-by-step fusion theory. An integrated multisensor image fusion method based on multiresolution analysis theory was proposed in accordance with the unified framework. The proposed method can overcome the difficulty of integrating complementary high spatial and spectral information of multisource images under high spatial resolution ratio. In the proposed method, a modulation transfer function was applied to separate the spatial (high frequency) and spectral components (low frequency) of multisource images. The fusion weight was constructed by comprehensively considering the relationship between multisensor high spatial resolution images and high spectral resolution images and the relationship among the spectral bands of the high spectral resolution image. Fused images with the highest spatial and spectral resolutions can be obtained. The GF-1 panchromatic, GF-1 multispectral, and GF-5 hyperspectral images were used in the experiments. Experimental results show that the proposed multisensor spatial-spectral fusion can effectively integrate the complementary spatial and spectral information to obtain the comparative fused results. © 2020, Science Press. All right reserved.
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页码：379 / 387
页数：8
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