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基于双重隐马尔科夫模型的ISAR图像序列中散射中心关联算法 被引量:1

Scatters Correlation from ISAR Image Sequences Based on Double Hidden Markov Model
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摘要 散射中心关联是雷达目标三维重构的关键技术,由于目标散射中心在连续观测视角下在序列图像间的运动轨迹及散射强度具有强相关特性,因此根据相关性建立的双重隐马尔科夫模型能够鲁棒地表征序列图像间散射中心关联状态的变化。大量的实验结果表明,该算法能够实现散射中心的鲁棒关联。 Scatters correlation is a key technology to 3D reconstruction of radar targets. A novel method based on double hidden Markov model (HMM) can describe the change of scatters correlation status robustly between ISAR images due to the strong consistency of moving trace and amplitude of scatters under the continuous aspect angles. Numerous test results show that the algorithm carl perform scatters correlation robustly.
出处 《空间电子技术》 2013年第1期48-52,68,共6页 Space Electronic Technology
基金 空间微波技术重点实验室基金资助(No:9140C530303110C5304)
关键词 散射中心关联 三维重构 隐马尔科夫模型 Scatters correlation 3 D reconstruction HMM
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