自然资源遥感2017，Vol.29Issue(3)：51-58,8.DOI:10.6046/gtzyyg.2017.03.07
一种基于多尺度稀疏分解的遥感图像融合新方法
A new method for remote sensing image fusion based on multi-scale sparse decomposition
摘要
Abstract
To achieve better effect of remote sensing image fusion, the authors put forward a multi-scale sparse image decomposition method based on morphological component analysis (MCA).It combines curvelet transform basis and local discrete cosine transform(DCT)basis to form the decomposition dictionary and controls the entries of the dictionary so as to decompose the image into texture component and cartoon component.From the aspect of the amount of information, a remote sensing image(RSI)fusion method based on multi-scale sparse decomposition was proposed.By using sparse decomposition, the effective scale texture component of high resolution RSI and cartoon component of multi-spectral RSI were selected to be fused together.Compared with the classical fusion methods, the proposed fusion method gets higher spatial resolution and lower spectral distortion with a little computation load.Compared with sparse reconstruction fusion method, it achieves a higher algorithm speed and a better fusion result.Therefore,the proposed image fusion method based on multi-scale sparse decomposition has certain application value.关键词
多尺度/稀疏分解/字典/遥感图像/融合Key words
multi-scale/sparse decomposition/dictionary/remote sensing image/fusion分类
信息技术与安全科学引用本文复制引用
徐金东,倪梦莹,童向荣,张艳洁,郑强..一种基于多尺度稀疏分解的遥感图像融合新方法[J].自然资源遥感,2017,29(3):51-58,8.基金项目
山东省自然科学基金项目"基于稀疏盲图像分离的多源遥感影像融合"(编号: ZR2014FQ026)资助. （编号: ZR2014FQ026）
