摘要
为增加遥感影像的信息量、提高影像的解译效果,研究一种基于NSCT和IHS变换相结合的多源遥感影像融合的方法,该方法对光学影像进行IHS变换,然后采用NSCT对SAR影像和光学影像的I分量分别分解,采用不同的融合策略分别对高低频系数进行融合,即对低频系数利用区域能量的融合规则和高频系数采用标准差加权融合规则的方法,最后通过IHS逆变换得到融合后的影像。通过对比实验进行验证,结果表明,该方法具有更优的融合效果,在提高影像的清晰度、增加纹理信息及细节信息、减少光谱失真等方面具有优越性,为高质量的影像目标识别和地物判读别提供有力支持。
In order to increase the information content of remote sensing images and improve the interpretation effect of images,a multi-source remote sensing image fusion method based on the combination of NSCT and IHS transform is studied.This method performs IHS transform on optical images,and then NSCT is used to decompose the I components of SAR images and optical images separately,and different fusion strategies are used to fuse high and low frequency coefficients respectively.That is to say,the fusion rule of regional energy is used for low-frequency coefficients and the fusion rule of weighted standard deviation is used for high-frequency coefficients.Finally,the fused image is obtained through inverse IHS transform.Through comparative experiments,the results show that this method has better fusion performance,with advantages in image clarity,increased texture and detail information,and reduced spectral distortion.It provides strong support for high-quality images for target recognition and ground object recognition.
作者
刘昶
Liu Chang(Hefei Surveying and Mapping Institute Co.,Ltd.,Hefei Anhui 230000,China)
出处
《山西建筑》
2023年第24期169-172,共4页
Shanxi Architecture
关键词
NSCT
IHS变换
影像融合
融合策略
逆变换
NSCT
IHS transformation
image fusion
fusion strategies
inverse transformation
