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改进的MTF遥感影像复原算法研究
引用本文:柴雅琼,冯钟葵,齐东楷,郭擎. 改进的MTF遥感影像复原算法研究[J]. 遥感信息, 2012, 0(1): 78-83
作者姓名:柴雅琼  冯钟葵  齐东楷  郭擎
作者单位:1. 中国科学院研究生院,北京100049;中国科学院,对地观测与数字地球科学中心,北京100094
2. 中国科学院,对地观测与数字地球科学中心,北京100094
摘    要:基于传统的图像复原算法——逆滤波,提出了改进的MTFC遥感图像复原算法。通过对比分析图像不同频点的补偿函数曲线以及不同补偿因子的复原效果,优化了MTFC算法,在提高图像质量的同时较好地抑制了噪声。同时,采用不同的卫星遥感图像验证了算法的适用性,体现了其应用价值。

关 键 词:MTFC  遥感图像复原  算法

An Improved MTFC Restoration Algorithm for Remote Sensing Image
CHAI Ya-qiong , FENG Zhong-kui , QI Dong-kai , GUO Qing. An Improved MTFC Restoration Algorithm for Remote Sensing Image[J]. Remote Sensing Information, 2012, 0(1): 78-83
Authors:CHAI Ya-qiong    FENG Zhong-kui    QI Dong-kai    GUO Qing
Affiliation:②(① Graduate University of Chinese Academy of Sciences,Beijing 100049; ② Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100094)
Abstract:This paper proposes an improved MTF restoration algorithm for remote sensing image based on inverse filtering,a traditional image restoration method.The improved algorithm is accomplished by optimizing the compensating curve shape at different frequency and the compensating factor.The quality of resultant image is better than before and the quantitative results are satisfying.Moreover,the optimal algorithm is adaptive to various remote sensing images and it overcomes the limited adaptability of former work.
Keywords:MTFC  remote sensing image restoration  algorithm
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