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一种基于人工萤火虫群优化的改进粒子滤波算法 被引量:8
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作者 朱文超 许德章 《计算机应用研究》 CSCD 北大核心 2014年第10期2920-2924,共5页
针对传统粒子滤波算法中存在的粒子多样性丧失问题,提出一种基于人工萤火虫群优化的改进粒子滤波算法。该算法利用人工萤火虫群算法优化粒子滤波的重采样过程,按照权值的蜕化程度对样本集进行分层,通过转移概率将权值蜕化子集——映射... 针对传统粒子滤波算法中存在的粒子多样性丧失问题,提出一种基于人工萤火虫群优化的改进粒子滤波算法。该算法利用人工萤火虫群算法优化粒子滤波的重采样过程,按照权值的蜕化程度对样本集进行分层,通过转移概率将权值蜕化子集——映射到高似然区域。根据优化阈值条件,将低权值粒子集分为抛弃组和优化组,通过选取优化组粒子和高权值粒子适当地线性组合产生新粒子集。仿真结果表明,当感知系数为零时,优化算法将蜕化为基本粒子滤波算法;在适当选择感知系数的情况下,优化算法的滤波精度较高,跟踪突变状态的性能较优,在保证粒子群贴近真实后验分布的同时,增强了粒子的多样性。 展开更多
关键词 粒子滤波 人工萤火虫群算法 转移概率 优化阈值条件 感知系数
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The quantification of remote sensing
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作者 GU Xingfa1,2,3,TIAN Guoliang1,2, LI Xiaowen1,2 & GUO Jianning4 1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China 2. The Center for National Spaceborne Demonstration, Beijing 100101, China +1 位作者 3. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84914 Avignon, France 4. China Center for Resource Satellite Data and Application, Beijing 100830, China 《Science China(Technological Sciences)》 SCIE EI CAS 2005年第S2期1-11,共11页
The paper firstly defined the remote sensing information quantification, analyzed the necessity of developing remote sensing quantification, figured out the application guidelines requirement, and pointed out the impo... The paper firstly defined the remote sensing information quantification, analyzed the necessity of developing remote sensing quantification, figured out the application guidelines requirement, and pointed out the importance of quantification research. Then taking the remote sensing application research of CBERS-02 data quantification as the example, the paper described the whole quantification system of “remotely sensed digital signal-radiation information-field parameter inversion”. Finally the paper gave the prospect for the development trend of the quantitative remote sensing. 展开更多
关键词 REMOTE SENSING information quantification CBERS-02 radiometric calibration surface parame- ter reversion.
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