基于MTFC的遥感图像复原方法

Study on Remote Sensing Image Restoration Based on MTFC

遥感图像在成像过程中受到大气、光学系统、探测器、平台运动和电路等因素的影响,引起图像退化,图像复原算法可以改善遥感图像像质,提高图像信息的解译能力。文章介绍了调制传递函数补偿(modulation transfer function compensation,MTFC)算法的原理,从遥感成像的链路环节出发,分析了MTFC的原理,提出了一种星上实时遥感图像MTFC复原算法。通过卷积系数和抑噪参数的优化设计,在提高图像清晰度的同时能较好地抑制噪声;对不同卷积和抑噪参数的图像复原效果进行了对比,从主观和客观两个方面对复原图像进行了评价。实验结果表明,该算法能有效提高图像像质,增强图像的高频部分,采用不同类型的卫星遥感图像验证了算法的适应性。

Due to the effects of atmosphere, optical system, detector, platform motion, circuit etc, remote sensing images are degenerated. Image restoration algorithm can improve image quality and interpretation capability. This paper analyzes the domestic research on modulation transfer function compensation （ MTFC ） algorithms, and performs appropriate compensation after obtaining the MTF curve of the image. Based on this, starting from the link of remote sensing system, the paper introduces an onboard real-time MTFC remote sensing image restoration algorithm by briefly analyzing the theory of MTFC. The quality of resultant image is improved and the noise is limited properly by optimizing the convolution modulus and anti-noise parameter. The image restoration effects are compared for different convolution modulus and anti-noise parameters from the subjective and objective aspect. The experimental results indicate that this algorithm can effectively improve the image quality and enhance high frequency information. Moreover, the algorithm is adaptive to different types of remote sensing images.