基于局部均值和标准差的Curvelet变换遥感图像融合算法
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摘要
为充分利用各种遥感图像的有用信息,在Curvelet变换的基础上,提出一种基于局部均值和标准差限定的遥感图像融合算法.通过Curvelet变换将同一场景下的高空间分辨率全色图像和低分辨率多光谱图像分解到不同尺度、不同方向的频带范围内,然后对低、高频系数分别采用最大值法和局部均值及标准差限定法的融合规则进行融合,最后进行Curvelet反变换得到融合图像.实验表明,基于该融合规则的Curvelet算法优于传统的遥感图像融合算法.
In order to adequately make use of all kinds of remote sensing images,based on the Curvelet transformation,a new fusion algorithm for remote sensing images is proposed by using the local mean and standard deviation.By Curvelet transform,the same scene of high spatial resolution panchromatic image and low resolution multispectral image are decomposed into different scales and different directions.And then,the Curvelet coefficients for the fused image can be obtained by using maximum value to low frequency and local mean and standard deviation to high frequency.Finally,the fused image is reconstructed by the inverse Curvelet transform.The experimental results show that the proposed fusion rules of Curvelet is superior to traditional algorithm for remote sensing image fusion.
In order to adequately make use of all kinds of remote sensing images,based on the Curvelet transformation,a new fusion algorithm for remote sensing images is proposed by using the local mean and standard deviation.By Curvelet transform,the same scene of high spatial resolution panchromatic image and low resolution multispectral image are decomposed into different scales and different directions.And then,the Curvelet coefficients for the fused image can be obtained by using maximum value to low frequency and local mean and standard deviation to high frequency.Finally,the fused image is reconstructed by the inverse Curvelet transform.The experimental results show that the proposed fusion rules of Curvelet is superior to traditional algorithm for remote sensing image fusion.
引文
[1]许建平.基于第二代Curvelet变换的遥感图像融合方法研究[D].金华:浙江师范大学,2009.
[2]申雪琴,何同弟.基于Curvelet变换的自适应遥感图像融合算法[J].计算机应用与软件,2010,27(6):39-42.
[3]POHL C,VAN GENDEREN J L.Multi sensor image fusion in remote sensing:concepts,methods and applications[J].International Journal of Remote Sensing,1998,19(5):823-854.
[4]陈宝印.多光谱遥感图像与高分辨率全色图像融合研究[J].电脑开发与应用,2008,21(4):40-42.
[5]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.
[6]李晖晖,郭雷,刘航.基于二代Curvelet变换的图像融合研究[J].光学学报,2006,26(5):657-662.
[7]满旺,袁莹,黄于同.一种基于曲波变换的遥感图像融合新算法[J].长江大学学报,2010,7(2):70-73.
[8]蒋年德,王耀南,毛建旭.基于2代Curvelet改进IHS变换的遥感图像融合[J].中国图象图形学报,2008,13(12):2376-2382.
[9]玄立超,谢亦才.一种新的基于Curvelet变换的遥感图像融合算法[J].计算机技术与发展,2009,19(5):119-126.
[10]张强,郭宝龙.应用第二代Curvelet变换的遥感图像融合[J].光学精密工程,2007,15(7):1130-1136.
[11]马银平,江伟.基于局部均值和标准差的图像增强算法[J].计算机工程,2009,35(22):205-209.
[12]WANG Zhijun,ZIOU D,ARMENAKIS C,et al.A comparative analysis of image fusion methods[J].IEEE Trans Geosci Remote Sens,2005,43(6):1391-1402.
[2]申雪琴,何同弟.基于Curvelet变换的自适应遥感图像融合算法[J].计算机应用与软件,2010,27(6):39-42.
[3]POHL C,VAN GENDEREN J L.Multi sensor image fusion in remote sensing:concepts,methods and applications[J].International Journal of Remote Sensing,1998,19(5):823-854.
[4]陈宝印.多光谱遥感图像与高分辨率全色图像融合研究[J].电脑开发与应用,2008,21(4):40-42.
[5]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.
[6]李晖晖,郭雷,刘航.基于二代Curvelet变换的图像融合研究[J].光学学报,2006,26(5):657-662.
[7]满旺,袁莹,黄于同.一种基于曲波变换的遥感图像融合新算法[J].长江大学学报,2010,7(2):70-73.
[8]蒋年德,王耀南,毛建旭.基于2代Curvelet改进IHS变换的遥感图像融合[J].中国图象图形学报,2008,13(12):2376-2382.
[9]玄立超,谢亦才.一种新的基于Curvelet变换的遥感图像融合算法[J].计算机技术与发展,2009,19(5):119-126.
[10]张强,郭宝龙.应用第二代Curvelet变换的遥感图像融合[J].光学精密工程,2007,15(7):1130-1136.
[11]马银平,江伟.基于局部均值和标准差的图像增强算法[J].计算机工程,2009,35(22):205-209.
[12]WANG Zhijun,ZIOU D,ARMENAKIS C,et al.A comparative analysis of image fusion methods[J].IEEE Trans Geosci Remote Sens,2005,43(6):1391-1402.