Acta Geodaetica et Cartographica Sinica >

2018 , Vol. 47 >Issue 1: 82 - 90

DOI: https://doi.org/10.11947/j.AGCS.2018.20170421

Panchromatic and Multi-spectral Fusion Method Combined with Adaptive Gaussian Filter and SFIM Model

  • WANG Mi ,
  • HE Luxiao ,
  • CHENG Yufeng ,
  • CHANG Xueli
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  • 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China

Received date: 2017-07-19

  Revised date: 2017-12-04

  Online published: 2018-02-05

Supported by

The National Natural Science Foundation of China (Nos. 41701527;91438203;91638301)

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Abstract

Panchromatic and multi-spectral fusion technology can increase feature discriminant ability of remote sensing images.However,the abilities of fusing spatial information and keeping spectral information are conflict,and are hard to be balanced by common algorithms.SFIM (smoothing filter-based intensity modulation) can keep spectral information effectively,but is difficult to fuse spatial information which will reduces the holistic effect.Pointing to this problem,this paper analyzes the principles and characters of SFIM model,and proposes a fusion method combined with adaptive Gaussian filter and SFIM model (AGSFIM).Computing optimal parameter of Gaussian filter based on entirety mean-value-adjusted average gradient of multi-spectral bands,and adjusting down-sampled panchromatic image to same sharpness level which can confirm the balances of spatial information fusing ability and spectral information keeping ability.Beijing-2 and ZY-3 02 data are applied to test and six different fusion methods are used to compare.The experiments show that AGSFIM can effectively overcome SFIM's shortage and increase fusion images' spatial information.

Key words： adaptive; Gaussian filter; image fusion; SFIM model

Cite this article

WANG Mi , HE Luxiao , CHENG Yufeng , CHANG Xueli . Panchromatic and Multi-spectral Fusion Method Combined with Adaptive Gaussian Filter and SFIM Model[J]. Acta Geodaetica et Cartographica Sinica, 2018 , 47(1) : 82 -90 . DOI: 10.11947/j.AGCS.2018.20170421

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