针对红外成像消噪的粒子滤波退化问题，提出正则粒子重采样算法。该算法从粒子群重采样获得粒子云(xjk，nj)mj=1，解决了粒子多样性消失的问题并克服粒子匮乏的现象；接着又通过添加辅助粒子v，将下一时刻观测值权值大的粒子进行标识，使粒子权值ikp(xk｜yik-1)p(xk｜ik-1)更加稳定；给出了运动物体的红外成像消噪模型。实验仿真表明：正则粒子重采样算法通过添加辅助粒子使红外成像消噪效果好，成像清晰度在95%以上。
Abstract
The regular granule heavy sampling algorithm is proposed for solving the deterioration of the granules in the infrared imaging denoising process. The granule cloud is obtained by the algorithm based on the granule resampling which can eliminate the phenomena of the granule diversity vanishing and granule want, the granules with great weight value observed at the next moment are marked to make the granule weight value more stable by adding some auxiliary granules, and then an infrared imaging denoising model of a moving object is established. The experimental result indicates that the method makes the effect of the infrared imaging denoising much better, and the imaging definition above 95%.
关键词
红外成像 /
消噪处理 /
正则粒子重采样
{{custom_keyword}} /
Key words
regular granule resampling /
infrared imaging /
denoising processing
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1]段晓娟，史浩山.一种基于红外成像障碍物检测的改进Flood Filling算法[J].传感技术学报,2009，22（1）：85-87.
DUAN Xiao-juan, SHI Hao-shan.An improved flood filling algorithm for obstacle detection of infrared images[J]. Jouranl of Transduction Technology, 2009，22(1)：85-87. (in Chinese with an English abstract)
[2]程水英,张剑云.粒子滤波评述[J].宇航学报,2009,29(4):1099-1101.
CHENG Shui-ying, ZHANg Jian-yun.Review on particle filters[J]. Jouranl of Astronautics, 2009,29(4):1099-1101. (in Chinese with an English abstract)
[3]邹国辉，敬忠良，胡洪涛.基于优化组合重采样的粒子滤波算法[J].上海交通大学学报，2006，40(7)：1135-1137.
ZOU Guo-hui, JING Zhong-liang, HU Hong-tao. A particle filter algorithm based on optimizing combination resampling[J]. Jouranl of Shanghai Jiaotong Uiversity， 2006，40(7)：1135-1137. (in Chinese with an English abstract)
[
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}
