Point pattern matching algorithm based on local topological characteristic and probabilistic relaxation labeling

@article{Lei2016PointPM,
  title={Point pattern matching algorithm based on local topological characteristic and probabilistic relaxation labeling},
  author={Lin Lei and Huanxin Zou and Xiongqing Zhong},
  journal={2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  year={2016},
  pages={709-712}
}
To reduce the impact of outliers and noises on point pattern matching, a novel point pattern matching algorithm based on local topological characteristic and probabilistic relaxation labeling (LTC-PRL) is proposed in this paper. For each point in a point set, partial adjacent points are used to describe its local topological characteristic. To avoid the… CONTINUE READING