摘要
为了提高多光谱图像和全色图像的融合质量,提出一种基于推广的IHS(Generalized Intensity-Hue-Saturation,GIHS)变换与最大后验概率MAP(Maximuma Posteriori)相结合的遥感图像融合算法。该算法首先经过GIHS变换,由多光谱图像得到强度分量;其次针对强度分量和全色图像,通过MAP构建高分辨率图像的成像模型,采用最速下降优化算法得到富含光谱信息的高分辨率全色图像;进而依据GIHS变换得到融合图像。实验中分别以IKONOS卫星、Quickbird卫星的多光谱图像和全色图像为例,进行融合算法验证,并与GIHS融合算法、传统的小波变换融合算法、小波变换结合IHS变换的融合算法等进行比较分析,实验表明,新的融合方法具有更好的融合效果。
This paper proposes a fusion method by combining generalized intensity-hue-saturation （GIHS） transformation and maximum a posteriori （MAP） analysis in order to improve the fusion quality of multispectral （MS） and panchromatic （Pan） images from a new type of remote sensing platforms. The intensity component of the MS images is first obtained by GIHS transformation. Then a new Pan image is acquired by combing the intensity component and Pan image using a steepest-descent optimization algorithm based on the MAP framework. Thus, the fused images are obtained by the GIHS method. Experiments are conducted using the IKONOS MS and Pan images, and Quickbird MS and Pan images. The proposed method is compared with the GIHS fusion method, the wavelet transform （WT） fusion method, and the combined WT-GIHS fusion method. The experimental results show that the proposed method can achieve better fusion result than exiting fusion methods.
出处
《遥感学报》
EI
CSCD
北大核心
2010年第6期1259-1272,共14页
NATIONAL REMOTE SENSING BULLETIN
基金
国家自然科学基金(编号:60774092
60872096
60901003)
高等学校博士学科点专项科研基金(编号:20070294027)~~
关键词
图像融合
小波变换
MAP
IHS变换
remote sensing, image fusion, IHS transformation, wavelet transform, maximum a posteriori analysis
