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预估计混叠度的MAP超分辨率处理算法
引用本文:孟庆武.预估计混叠度的MAP超分辨率处理算法[J].软件学报,2004,15(2):207-214.
作者姓名:孟庆武
作者单位:哈尔滨工业大学,航天学院,黑龙江,哈尔滨,150001
基金项目:Supported by the National High-Tech Research and Development Plan of China under Grant No.2002AA716071(国家高技术研究发展计划(863))
摘    要:提出一种预估计混叠度的PEMAP(pre-estimated MAP(maximum a posteriori)算法,用于卫星图像的地面超分辨率处理.它通过频域分析确定卫星图像的混叠度,将其作为先验信息在空域控制MAP估计的循环迭代,联合估计帧间位移和高分辨率图像.该算法克服了最大后验概率MAP算法的盲目性和不稳定性,使其适应性更好.实际的卫星图像处理显示了较好的处理效果.

关 键 词:卫星图像  超分辨率处理  混叠度  位移参数  MAP(maximum  a  posteriori)估计
收稿时间:2003/1/21 0:00:00
修稿时间:2003年1月21日

An Aliasing Degree Pre-Estimated MAP Algorithm of Super-Resolution Processing
MENG Qing-Wu.An Aliasing Degree Pre-Estimated MAP Algorithm of Super-Resolution Processing[J].Journal of Software,2004,15(2):207-214.
Authors:MENG Qing-Wu
Abstract:In this paper, a sort of aliasing degree pre-estimated MAP (maximum a posteriori) algorithm, PEMAP, is proposed. It is used in super-resolution processing of satellite images on the ground. The aliasing degree of satellite images is firstly determined in frequency domain by spectrum analysis, and then used in a joint estimation of the registration parameters and high-resolution image in space domain as a priori information. This algorithm overcomes the blindness and instability of the MAP algorithm and improve its flexibility. Good results have been shown in a practical satellite image processing.
Keywords:satellite image  super-resolution processing  aliasing degree  registration parameter  MAP (maximum a posteriori) estimation
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