摘要
目的 :根据shanon采样定理 ,研究将多幅低分辨率遥感图像进行信息融合处理 ,形成单幅较高分辨率图像。方法 :用数学方法求解对应于低分辨率遥感图像的统一频谱混叠。结果 :给出了不同分辨率图像频谱混叠矩阵的统一表达式。结论 :实验结果证明了本算法能有效提高遥感图像空间分辨率 0 .5～ 1倍。
Aim: To study an image fusion approach of multiple low-resolution under sampling images according to SHANON sampling theory so as to form one high-resolution image. Methods: The mathematic method is used to find a uniform expression for frequency aliasing matrix of different resolution images. Results: A solution to the expression was given. Conclusions: The results of the experimentation prove that this algorithm can effectively improve the resolution of remote sensing images.
出处
《中国体视学与图像分析》
2002年第1期45-46,共2页
Chinese Journal of Stereology and Image Analysis
关键词
遥感图像
统一混叠矩阵
图像融合
分辨率
图像分析
Remote sensing image
Under sampling
Uniform frequency aliasing expression
Images fusion
Resolution
