海军航空工程学院,海军航空工程学院,海军航空工程学院,海军工程大学 烟台264001;海军工程大学,武汉430033 ,烟台264001 ,烟台264001;海军工程大学,武汉430033 ,武汉430033
近几年 ,图像融合成为一个热门研究领域。图像融合是在多测度空间综合处理多源图像和图像序列的技术。通过融合处理、综合运用多源信息 ,得到性能比任一源图像好的图像 ,以便于图像的后续处理和更好地满足应用要求。从信息处理的层次上图像融合可分为 :信号层图像融合、像素层图像融合、特征层图像融合和符号层图像融合。比较了不同层次图像融合算法的特点 ,讨论了红外图像、可见光图像、多谱图像、雷达图像等的融合问题 ,给出了一个应用实例 ,并对图像融合的发展进行展望。
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基本信息:
DOI:10.16426/j.cnki.jcdzdk.2002.05.012
中图分类号:TP212
引用信息:
[1]夏明革,何友,黄晓冬,夏仕昌.多传感器图像融合应用评述[J].舰船电子对抗,2002(05):38-44.DOI:10.16426/j.cnki.jcdzdk.2002.05.012.
基金信息:
全国优秀博士学位论文作者专项资金资助项目 (编号 :2 0 0 0 36 );; 国家自然科学基金资助项目 (批准号 :6 0 172 0 33)