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Remote Sensing Technology and Application  2022, Vol. 37 Issue (4): 829-838    DOI: 10.11873/j.issn.1004-0323.2022.4.0829
A Remote Sensing Image Fusion Method based on ASR and PAPCNN in NSCT Domain
Lü Kaiyun1,2,3(),Zhaoyang Hou1,Xunqiang Gong1,3(),Shuo Yang1
1.Faculty of Geomatics,East China University of Technology,Nanchang 330013,China
2.Key Laboratory of Marine Environmental Survey Technology and Application,Ministry of Natural Resources,Guangzhou 510300,China
3.Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake,Ministry of Natural Resources,Nanchang 330013,China
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In order to solve the problems of the high redundancy of the sparse dictionary and the subjectivity of Pulse-Coupled Neural Network (PCNN) parameter setting, a remote sensing image using fusion method based on Adaptive Sparse Representation (ASR) and Parameter Adaptive Pulse Coupled Neural Network (PAPCNN) in Non-Subsampled Contourlet Transform (NSCT) domain is proposed in this paper. Luminance components and panchromatic images are decomposed by NSCT to obtain high and low frequency sub-bands, and the luminance component Y is obtained from the multi-spectral image through YUV spatial transformation. ASR-based fusion rules are used for sparse representation of low frequency sub-band and adaptive sparse representation is realized according to the gradient information of the image block. The PAPCNN model is adopted to select the optimal parameters of PCNN in the high frequency sub-band. Finally, the fusion result is obtained through the corresponding inverse transformation. The experimental results of different satellite images show that the overall effect of the proposed method is better than the other six methods by using qualitative evaluation and quantitative evaluation.

Key words:  Remote sensing image fusion      Non-Subsampled Contourlet Transform      Adaptive Sparse Representation      Parameter Adaptive Pulse Coupled Neural Network     
Received:  02 December 2021      Published:  28 September 2022
Corresponding Authors:  Xunqiang Gong     E-mail:;xqgong1988@
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Lü Kaiyun
Zhaoyang Hou
Xunqiang Gong
Shuo Yang

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Lü Kaiyun,Zhaoyang Hou,Xunqiang Gong,Shuo Yang. A Remote Sensing Image Fusion Method based on ASR and PAPCNN in NSCT Domain. Remote Sensing Technology and Application, 2022, 37(4): 829-838.

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Fig 1  Schematic of a two-level NSCT decomposition
Fig. 2  Adaptive PCNN model architecture
Fig 3  Algorithm flow chart
Fig4  Experimental data
Fig.5  Results of PAPCNN with different iteration number
Fig.6  GF-2 image fusion effect
Fig7  SPOT 6 image fusion effect
Table 1  Performance evaluation of GF-2 source image fusion results
Table 2  Performance evaluation of SPOT-6 source image fusion results
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