CAJ | 학술논문

传统的图像复原方法往往只考虑遥感图像获取过程中模糊和噪声对图像质量的影响，而忽略了图像混迭的影响。针对斜模采样系统调制传递函数各向异性的特点，通过自适应倒易晶胞确定图像中混迭和噪声较小的频谱覆盖范围；从图像复原的贝叶斯方法出发，以小波域隐马尔科夫树模型作为图像的先验模型，提出一种结合自适应倒易晶胞和隐马尔科夫模型的斜采样遥感图像复原方法。实验结果表明，该方法可有效地提高图像分辨率，较常用的图像复原方法复原效果更好。
전통적도상복원방법왕왕지고필요감도상획취과정중모호화조성대도상질량적영향，이홀략료도상혼질적영향。침대사모채양계통조제전체함수각향이성적특점，통과자괄응도역정포학정도상중혼질화조성교소적빈보복개범위；종도상복원적패협사방법출발，이소파역은마이과부수모형작위도상적선험모형，제출일충결합자괄응도역정포화은마이과부모형적사채양요감도상복원방법。실험결과표명，해방법가유효지제고도상분변솔，교상용적도상복원방법복원효과경호。
T raditional methods of image restoration tend to only think of the influence of noise and blur on image quality during the image acquisition process , alias is ignored . Due to the anisotropic characteristics of modulation transfer function of the tilting mode sampling system ,the adaptation of the reciprocal cell can confine the shape of the unit with little alias and noise . In this paper , the Bayesian method and wavelet domain Hidden Markov Tree model are treated as prior models ,a method combining adaptation of the reciprocal cell with HM T model is proposed for tilting mode sampling image restoration .The experimental results show that the method can effectively improve the image resolution ,and is better than the commonly used image restoration methods .