IDCDP: a novel data preprocessing method

Yu Cheng; Lijun Liu; Xi Li Sr.; Xiaoyu Huang

doi:10.1117/12.2524216

6 May 2019 IDCDP: a novel data preprocessing method

Yu Cheng, Lijun Liu, Xi Li Sr., Xiaoyu Huang

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106906 (2019) https://doi.org/10.1117/12.2524216
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Correct tracks obtained through effective data preprocessing are important to multi-target data fusion, especially in the circumstance of dense targets and strong interference. Outliers and target switch arise in the uncertainty of measurement data in the practical applications. In this paper, we propose a novel real-time data preprocessing method for outlier detection and target switch identification to obtain correct tracks, named as IDCDP (i.e., innovation and density combined data preprocessing). Experimental results demonstrate the effectiveness of IDCDP, which achieves outlier-free adaptive filtering and provides authentic tracks for multi-target data fusion.

Citation Download Citation

Yu Cheng, Lijun Liu, Xi Li Sr., and Xiaoyu Huang "IDCDP: a novel data preprocessing method", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106906 (6 May 2019); https://doi.org/10.1117/12.2524216

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