| 基于自适应马尔科夫随机场的深空探测影像密集匹配 |
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| 引用本文： | 彭嫚,邸凯昌,刘召芹.基于自适应马尔科夫随机场的深空探测影像密集匹配[J].遥感学报,2014,18(1):77-89. |
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| 作者姓名： | 彭嫚 邸凯昌 刘召芹 |
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| 作者单位： | 中国科学院遥感与数字地球研究所 遥感科学国家重点实验室, 北京 100101;中国科学院遥感与数字地球研究所 遥感科学国家重点实验室, 北京 100101;中国科学院遥感与数字地球研究所 遥感科学国家重点实验室, 北京 100101 |
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| 基金项目： | 国家自然科学基金（编号：41201480，41171355） |
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| 摘 要： | 针对深空探测影像纹理贫乏导致的匹配不确定性问题,在传统马尔科夫匹配模型的基础上提出自适应马尔科夫随机场模型,将模型抽象为数据项和空间项的组合,通过自适应视差范围确定、自适应窗口匹配和自适应权重系数的有效结合,实现了深空探测影像的密集匹配。该模型在匹配过程中有效降低了视差搜索范围,在实现全局匹配的同时保留了视差不连续的区域特征。采用勇气号火星车影像与嫦娥影像进行实验,结果证明该方法提高了深空探测影像中纹理贫乏区域匹配的精度。
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| 关 键 词： | 深空探测 密集匹配 马尔科夫场 自适应 |
| 收稿时间： | 2013/4/17 0:00:00 |
| 修稿时间： | 2013/7/15 0:00:00 |
Adaptive Markov random field model for dense matching of deep space stereo images |
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| PENG Man,DI Kaichang and LIU Zhaoqin.Adaptive Markov random field model for dense matching of deep space stereo images[J].Journal of Remote Sensing,2014,18(1):77-89. |
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| Authors: | PENG Man DI Kaichang and LIU Zhaoqin |
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| Institution: | State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | This paper proposes an adaptive Markov Random Field (aMRF) model for the dense matching of deep space exploration images, which usually lack textures. Compared with traditional MRFs, the approach improves dense matching accuracy by a combination of adaptive disparity range predictions, adaptive matching windows, and adaptive weight coefficients. Furthermore, aMRF reduces the disparity search range while accurately preserving disparity discontinuities. Real rover images from the Mars Exploration Rover mission and Chang'E lunar orbiter images experiments demonstrate the effectiveness of the proposed method. |
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| Keywords: | deep space exploration dense match markov random field adaptive |
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