位置：成果数据库 > 会议 > 会议详情页
A novel multi — source classification approach based on evidence combination
  • 所属机构名称：西安交通大学
  • 会议名称：17th International Federation of Automatic Control（IFAC） World Congress
  • 成果类型：会议
  • 相关项目：基于异类信息融合的目标识别与跟踪方法研究
作者： Yang, Yi|Han, Chongzhao|Han, Deqiang|
同会议论文项目
基于异类信息融合的目标识别与跟踪方法研究
期刊论文 31 会议论文 19
同项目会议论文
Parameter estimation of positive alpha-stable distribution based on negative-order moments
Suppression of multiplicative noise based on adaptive windowing and local structure detection
A novel image fusion algorithm based on IHS and discrete wavelet transform
An overview on pixel-level image fusion in remote sensing
Multiple k-NN classifiers fusion based on evidence theory
Strong tracking finite-difference extended Kalman filtering for ballistic target tracking
Research on particle filter based on spherical unscented transformation
Multiple classifiers fusion based on weighted evidence combination
Clustering polarimetric SAR image under deorientation theory
Expectation Maximization (EM) algorithm-based nonlinear target tracking with adaptive state transiti
Efficient visual tracking using particle filter
Interpolation particle filter for tracking with out-of-sequence measurements
Graphical models-based track association algorithm
Data association for target tracking by several passive sensors
The divided difference particle filter
A hybrid method of seeded region growing and region hue-area information fusion for object segmentat
Improved unscented particle filter for nonlinear Bayesian estimation
Distributed adaptive CCAWCA CFAR detector