A study of remote sensing image fusion method based on Contourlet transform

doi:10.6046/gtzyyg.2015.02.07

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Abstract

In this paper, an improved method for multi-spectral and panchromatic remote sensing image fusion was proposed. The method proposed was inspired by the traditional wavelet and IHS based fusion framework. The Contourlet transformation was utilized and a novel fusion strategy was presented, with the purpose of extracting the luminance component of the multispectral image and conducting the Contourlet transformation on the luminance component and the panchromatic images. The fusion strategy for the low-frequency component is to adjust adaptively, while the high-frequency is threshold-controlled based on the structure similarity. Extensive experiments show that the method proposed in this paper can effectively extract the spatial information from the panchromatic image, which is not present in the multi-spectral image. The quantitative evaluation results also suggest that the resultant image has a higher correlation coefficient with the original image and smaller spectral distortion degrees in comparison with images of the conventional methods. In addition, the information entropy and the standard deviations are also superior. Besides, the proposed method is to a certain extent practical.

Keywords shuttle Radar topography mission (SRTM) ICESat/GLAS bilinear interpolation algorithm slope aspect

TP751.1

Issue Date: 02 March 2015

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	WAN Jie
	LIAO Jingjuan
	XU Tao
	SHEN Guozhuang

Cite this article:

WAN Jie,LIAO Jingjuan,XU Tao, et al. A study of remote sensing image fusion method based on Contourlet transform[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 44-50.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.02.07 OR https://www.gtzyyg.com/EN/Y2015/V27/I2/44

[1] Gonzalez-Audicana M,Saleta J L,Catalan O G,et al.Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(6):1291-1299.

[2] 褚进海,彭鹏,李郑,等.矿山遥感监测中QuickBird数据融合方法研究[J].国土资源遥感,2009,21(3):107-109.doi:10.6046/gtzyyg.2009.03.21. Chu J H,Peng P,Li Z,et al.The fusion method for QuickBird data in mine remote sensing monitoring[J].Remote Sensing for Land and Resources,2009,21(3):107-109.doi:10.6046/gtzyyg.2009.03.21.

[3] 于海洋,甘甫平,邱振戈.CBERS-02B星数据融合方法评价[J].国土资源遥感,2009,21(1):64-68.doi:10.6046/gtzyyg.2009.01.14. Yu H Y,Gan F P,Qiu Z G.Data fusion evaluation of CBERS-02B[J].Remote Sensing for Land and Resources,2009,21(1):64-68.doi:10.6046/gtzyyg.2009.01.14.

[4] Welch R,Ehlers M.Merging multiresolution Spot HRV and Landsat TM data[J].Photogrammetric Engineering and Remote Sensing,1987,53(3):301-303.

[5] Carper J T M,Lillesand T M,Kiefer P W.The use of intensity-hue-saturation transformations for merging Spot panchromatic and multispectral image data[J].Photogrammetric Engineering and Remote Sensing,1990,56:459-467.

[6] Ehlers M.Multisensor image fusion techniques in remote sensing[J].ISPRS Journal of Photogrammetry and Remote Sensing,1991,46(1):19-30.

[7] Shettigara V K.A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set[J].Photogrammetric Engineering and Remote Sensing,1992,58(5):561-567.

[8] Garguet-Duport B,Girel J,Chasseny J M,et al.The use of multiresolution analysis and wavelets transform for merging SPOT panchromatic and multispectral image data[J].Photogrammetric Engineering and Remote Sensing,1996,62(9):1057-1066.

[9] Zhou J,Civco D L,Silander J A.A wavelet transform method to merge Landsat TM and SPOT panchromatic data[J].International Journal of Remote Sensing,1998,19(4):743-757.

[10] 宋杨,万幼川.一种自适应的基于局部小波系数特征的遥感图像融合方法[J].遥感信息,2007(1):3-6. Song Y,Wan Y C.Remote sensing image fusion method based on adaptive local wavelet coefficients[J].Remote Sensing Information,2007(1):3-6.

[11] Kim Y,Lee C,Han D,et al.Improved additive-wavelet image fusion[J].IEEE Geoscience and Remote Sensing Letters,2010,8(2):263-267.

[12] 蔡娜.基于小波变换的遥感图像融合方法研究[D].福州:福建师范大学,2008. Cai N.Study of Fusion Method for Remote Sensing Image Based on the Wavelet Transform[D].Fuzhou:Fujian Normal University,2008.

[13] 范文婷,傅平.一种基于小波变换的遥感图像融合方法[J].国土资源遥感,2008,20(3):24-26.doi:10.6046/gtzyyg.2008.03.06. Fan W T,Fu P.A remote sensing image fusion method based on wavelet transform[J].Remote Sensing for Land and Resources,2008,20(3):24-26.doi:10.6046/gtzyyg.2008.03.06.

[14] 于浩,孙卫东,常玲,等.基于双树复小波的CBERS-02B星遥感影像融合及评价[J].国土资源遥感,2009,21(1):55-59.doi:10.6046/gtzyyg.2009.01.12. Yu H,Sun W D,Chang L,et al.Remote sensing image fusion and evaluation of CBERS-02B based on dual tree complex wavelet transformation[J].Remote Sensing for Land and Resources,2009,21(1):55-59.doi:10.6046/gtzyyg.2009.01.12.

[15] Do M N,Vetterli M.The Contourlet transform:An efficient directional multiresolution image representation[J].IEEE Transactions on Image Processing,2005,14(12):2091-2106.

[16] Do M N,Vetterli M.Framing pyramids[J].IEEE Transactions on signal Processing,2003,51(9):2329-2342.

[17] 王相海,魏婷婷,周志光.Contourlet方向区域相关性的遥感图像融合[J].遥感学报,2010,14(5):905-916. Wang X H,Wei T T,Zhou Z G.Remote sensing image fusion method based on the contourlet coefficients' correlativity of directional region[J].Journal of Remote Sensing,2010,14(5):905-916.

[18] 吴一全,陈飒.Contourlet变换和Tsallis熵的多源遥感图像匹配[J].遥感学报,2010,14(5):893-904. Wu Y Q,Chen S.Multi-source remote sensing image matching based on Contourlet transform and Tsallis entropy[J].Journal of Remote Sensing,2010,14(5):893-904.

[19] 朱康,贺新光.基于形态学和Contourlet系数区域特征的遥感图像融合方法[J].计算机科学,2013,40(4):301-305. Zhu K,He X G.Remote sensing images fusion method based on morphology and regional feature of Contourlet coefficients[J].Computer Science,2013,40(4):301-305.

[20] Mahyari A G,Yazdi M.Panchromatic and multispectral image fusion based on maximization of both spectral and spatial similarities[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(6):1976-1985.

[21] Cunha A L,Zhou J P,Do M N.Nonsubsampled Contourilet transform:Filter design and applications in denoising[C]//Proceeding of International Conference on Image Processing.Genova:IEEE,2005:749-752.

[22] Zhou J P,Cunha A L,Do M N.Nonsubsampled Contourlet transform:Construction and application in enhancement[C]//Proceeding of IEEE International Conference on Image Processing.Genova:IEEE,2005:469-472.

[23] Cunha A L,Zhou J P,Do M N.The Nonsubsampled Contourlet transform:Theory,design,and applications[J].IEEE Transaction on Image Processing,2006,15(10):3089-3101.

[24] Kong W,Lei Y,Ni X.Fusion technique for grey-scale visible light and infrared images based on non-subsampled Contourlet transform and intensity-hue-saturation transform[J].IET Signal Processing,2011,5(1):75-80.

[25] Mallat S G.A theory for multiresolution signal decomposition:The wavelet representation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7):674-693.

[26] Wang Z,Bovik A C,Sheikh H R,et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.

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