基于显著区域分割和小波变换的遥感图像融合
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摘要
针对多光谱图像和全色图像的融合,提出一种基于显著区域分割和小波变换的遥感图像融合算法。首先通过IHS变换对多光谱图像进行分解,将亮度分量I和全色图像进行小波变换,得到对应的高低频系数。对低频系数进行模糊C均值聚类分析,并根据显著性因子分割出显著区域和非显著区域,针对不同区域和频段采用不同的准则进行融合。最后重建融合系数并进行IHS逆变换以获得融合图像。通过对比实验,表明该方法获得的融合结果优于传统的融合方法。
Aiming at the fusion of multi-spectral image and panchromatic image,a remote sensing image fusion algorithm based on salient region segmentation and wavelet transform is proposed. Firstly,the multi-spectral image is decomposed by IHS transform, and the intensity component I and the panchromatic image are decomposed by wavelet transform to obtain corresponding high and low frequency coefficients. Then the fuzzy C-means clustering analysis is performed on the low-frequency coefficients,and the salient regions and non-significant regions are segmented according to the significance factor,next different rule are used for the fusion of different regions and frequency bands. Finally,the fusion image is obtained by reconstructing the fusion coefficient and performing the IHS inverse transformation.The comparison experiments show that the fusion results are better than the traditional fusion methods.
Aiming at the fusion of multi-spectral image and panchromatic image,a remote sensing image fusion algorithm based on salient region segmentation and wavelet transform is proposed. Firstly,the multi-spectral image is decomposed by IHS transform, and the intensity component I and the panchromatic image are decomposed by wavelet transform to obtain corresponding high and low frequency coefficients. Then the fuzzy C-means clustering analysis is performed on the low-frequency coefficients,and the salient regions and non-significant regions are segmented according to the significance factor,next different rule are used for the fusion of different regions and frequency bands. Finally,the fusion image is obtained by reconstructing the fusion coefficient and performing the IHS inverse transformation.The comparison experiments show that the fusion results are better than the traditional fusion methods.
引文
[1] Hassan Ghassemian. A Review of Remote Sensing Image Fusion Methods[J]. Information Fusion,2016,32(PA):75-89.
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[5]Nunez J,Otazu X,Fors O,et al. Multiresolution-based image fusion with additive wavelet decomposition[J]. IEEE Transactions on Geoscience&Remote Sensing,1999,37(3):1204-1211.
[6] Sundar K J A,Jahnavi M,Lakshmisaritha K. Multi-sensor image fusion based on empirical wavelet transform[C]. International Conference on Electrical,Electronics,Communication,Computer,and Optimization Techniques. 2017:93-97.
[7]H. Li,L. Guo,H. Liu. Region-based remote sensing image fusion method[J]. Acta Photonica Sinica,2005,34(12):1901-1905.
[8]Sun P,Deng L. An image fusion method based on region segmentation and wavelet transform[C]. International Conference on Geoinformatics. IEEE,2012:1-5.
[9]王丹,周锦程.基于聚类和NSCT的遥感图像融合算法[J].计算机仿真,2012(6):278-281.
[10]Zhang L,Zhang J. A New Saliency-Driven Fusion Method Based on Complex Wavelet Transform for Remote Sensing Images[J].IEEE Geoscience&Remote Sensing Letters,2017,14(12):2433-2437.
[11]莫才健,田健榕,武锋强,等.基于加权小波分析的遥感图像融合算法[J].吉林大学学报:理学版,2018,56(3):617-624.
[12]Jagalingam P,Hegde A V. A Review of Quality Metrics for Fused Image[C]. International conference on water resources coastal and ocean engineering. 2015:133-142.
[2]Shettigara V K. A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set[J]. Photogrammetric Engineering&Remote Sensing,1992,58(5):561-567.
[3]孙家柄,刘继琳,李军.多源遥感影像融合[J].遥感学报,1998(1):47-50.
[4]乔玉良,尚彦玲,魏信.遥感图像融合方法研究[J].气象与环境科学,2010,33(1):73-76.
[5]Nunez J,Otazu X,Fors O,et al. Multiresolution-based image fusion with additive wavelet decomposition[J]. IEEE Transactions on Geoscience&Remote Sensing,1999,37(3):1204-1211.
[6] Sundar K J A,Jahnavi M,Lakshmisaritha K. Multi-sensor image fusion based on empirical wavelet transform[C]. International Conference on Electrical,Electronics,Communication,Computer,and Optimization Techniques. 2017:93-97.
[7]H. Li,L. Guo,H. Liu. Region-based remote sensing image fusion method[J]. Acta Photonica Sinica,2005,34(12):1901-1905.
[8]Sun P,Deng L. An image fusion method based on region segmentation and wavelet transform[C]. International Conference on Geoinformatics. IEEE,2012:1-5.
[9]王丹,周锦程.基于聚类和NSCT的遥感图像融合算法[J].计算机仿真,2012(6):278-281.
[10]Zhang L,Zhang J. A New Saliency-Driven Fusion Method Based on Complex Wavelet Transform for Remote Sensing Images[J].IEEE Geoscience&Remote Sensing Letters,2017,14(12):2433-2437.
[11]莫才健,田健榕,武锋强,等.基于加权小波分析的遥感图像融合算法[J].吉林大学学报:理学版,2018,56(3):617-624.
[12]Jagalingam P,Hegde A V. A Review of Quality Metrics for Fused Image[C]. International conference on water resources coastal and ocean engineering. 2015:133-142.