| 新型遥感图像增强技术 |
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| 引用本文： | 周立佳,钱智博,徐冠雷.新型遥感图像增强技术[J].海军航空工程学院学报,2011,26(5):495-499, 504. |
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| 作者姓名： | 周立佳 钱智博 徐冠雷 |
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| 作者单位： | 1. 西北工业大学航海学院,西安,710072
2. 大连舰艇学院军事海洋系,辽宁大连,116018 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 基于方向辅助信号和所需带宽，提出一种基于各向异性BEMD的遥感图像融合增强算法。首先，给定的方向辅助信号和其对应负信号加到原始信号中去，构建两个待分解信号；然后，应用传统BEMD把两个待分解信号进行分解，获取的分量相加得到对应的IMFs，辅助信引同时在相加的过程中被移除，同时该过程有效地避免了边界效应和模式混叠，该方法...
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| 关 键 词： | 二维经验模式分解BEMD 各向异性BEMD 方向辅助信号 内蕴模式分量IMF 遥感图像融合 |
New Remote Sensing Image Fusion Algorithm |
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| ZHOU Li-ji,QIAN Zhi-bo and XU Guan-lei.New Remote Sensing Image Fusion Algorithm[J].Journal of Naval Aeronautical Engineering Institute,2011,26(5):495-499, 504. |
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| Authors: | ZHOU Li-ji QIAN Zhi-bo and XU Guan-lei |
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| Institution: | ZHOU Li-jia1,QIAN Zhi-bo1,XU Guan-lei2 |
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| Abstract: | In this paper, an anisotropic bi-dimensional empirical mode decomposition （ANBEMD） was presented based on the directional assisted images constructed in advance according to needed bandwidth. Firstly, the given directional assisted image and its negative counterpart were added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed 1MFs from the two images were added t~gether to get the IMFs, in which the added images were canceled out with less mode-mixing and boundary effects. The contribution of the method lies in the low time-cost, and direction selection besides controllable bandwidth. Lastly, the remote sensing image fusion proved the effectiveness of the method. |
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| Keywords: | bidimensional empirical mode decomposition （BEMD）： anisotropic BEMD （ANBEMD）directional assisted image intrinsic mode functions （1MF） remote sensing image fusion |
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