| 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 |
| DOI： |
| 分类号: |
| 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)) |
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| An Aliasing Degree Pre-Estimated MAP Algorithm of Super-Resolution Processing |
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MENG Qing-Wu
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| 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. |
| Key words: satellite image super-resolution processing aliasing degree registration parameter MAP (maximum a posteriori) estimation |
