摘要
北京一号小卫星提供4m分辨率全色影像和32m分辨率多光谱影像,但其空间分辨率比值(1:8)较低,在对北京一号小卫星数据融合时存在空间信息损失问题。针对此问题首先从全色影像中提取成像系统的调制传递函数MTF(Modulate Transfer Function),根据MTF设计2维低通滤波器,通过对多光谱影像的亮度成分滤波估计低分辨率全色图像数据值,基于GIF(General Image Fusion)融合框架得到融合结果。实验证明本方法用于融合遥感影像的可行性,其空间信息的保持在视觉效果和定量指标上均优于IHS(Intensive-Hue-Saturation),BT(Brovey Transform)和GS(Gram-Schmidt)等传统的替换类融合算法,在空间信息和光谱信息的保持上亦有较好的折中。
Fusion of high spatial resolution panchromatic （PAN） image and low spatial resolution multiresolution images （MSI） isa hot topic in remote sensing. Image fusion becomes more and more important for remote sensing applications. Beijing-1 microsatellite is an applied earth observing microsatellite of China. It provides MSI and PAN data with spatial resolutions of 32m and4m, respectively, The data will be used in city planning, disaster monitoring and so on. Spatial information distortion will occur in results when fusing Beijing-1 data because of the low ratio （1 ： 8） between their spatial resolutions. To overcome this problem, we design a two dimensional low-pass filter by measuring the Modulate Transfer Function （MTF） of imaging system from the Beijing-1 PAN image. This filter is used to evaluate the low-resolution information in General Image Fusion framework （GIF）. Experiments show that this MTF-based method is efficient in the fusion of Beijing-1 images. Both visual effect and quantitative indices of the fusion results show its better performance on keeping spatial information than Intensive-Hue-Saturation （IHS）, Brovey Transform （BT） and Gram-Schmidt （GS） fusion methods. And a better tradeoff between keeping spatial information and spectral information can be obtained by this MTF-based fusion method than the other three methods.
出处
《测绘学报》
EI
CSCD
北大核心
2009年第3期223-228,共6页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(40701146)
国家863项目(2007AA12Z227)
国家973计划(2007CB714406)
北京一号小卫星开放基金
电子科技大学中青年学术带头人培养计划项目
关键词
遥感影像融合
北京一号小卫星
通用图像融合模型
调制传递函数
remote sensing image fusion
Beijing-1 microsatellite
general image fusion
modulate transfer function
