摘要
压缩感知理论,以远低于奈奎斯特采样定理要求的速率对图像进行采样,可利用图像的部分信息重构原始图像,有效地减轻图像处理的计算复杂度,降低对硬件的要求。文中提出了一种基于压缩感知的遥感图像融合方法。在压缩域对多光谱和全光谱遥感图像进行了融合实验,并与传统的融合方法进行了比较,实验结果表明,文中方法在遥感图像融合上有着良好的性能。
Compressed sensing,with far less than the Nyquist sampling theorem required rate on image sampling,can use the portion of the image information to reconstruct the original image,and can effectively reduce the computational complexity of the image processing as well as hardware requirements.A method of image fusion on compressed sensing is proposed,and the experiment with the multi-spectral and panchromatic remote sensing image is compared with the conventional approaches.The result shows that the proposed method has a good performance on image fusion for remote images.
出处
《电子科技》
2012年第4期43-46,共4页
Electronic Science and Technology
关键词
压缩感知
图像融合
小波分解
图像重构
compressed sensing
image fusion
wavelet decomposition
image reconstruction
