Image Restoration Based on Maximum Entropy Method with parameter estimation by means of annieling method
Image Restoration Based on Maximum Entropy Method with parameter estimation by means of annieling method
复制标题
基于最大熵法的图像恢复与安尼尔法参数估计
DOI：
10.4287/jsprs.37.2_15
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Y. Terayama
中科院分区：
文献类型：
--
作者：
K. Arai;Yasuhiko Minematsu;Y. Terayama
提出了一种基于最大熵法的模拟退火空间分辨率增强方法。在低分辨率传感器上采用重叠采样，通过地面数据处理和图像恢复方法，可以获得高的空间分辨率（对应于采样间隔）。通过对AVHRR数据模拟影像数据的实验，发现空间分辨率的增强是可以实现的，当信噪比较低（小于33）时，MEM法上级其它方法，而当信噪比大于33时，共轭梯度法上级其它方法。研究还发现，共轭梯度法是上级优于现有的采样抖动的方法。
A method for spatial resolution enhancement based on Maximum Entropy Method (MEM) with simulated annieling is proposed. Using overlap sampling with a low resolution of sensor, high spatial resolution (corresponding to the sampling interval) can be achieved through ground data processing with image restoration methods. Through the experiments with simulation imagery data derived from AVHRR data, it was found that spatial resolution enhancement can be achieved, MEM is superior to the others when S/N is poor (less than 33) while Conjugate Gradient method is superior when the S/N is higher than 33. It was also found that the Conjugate Gradient method is superior to the proposed method for the existing sampling jitter.