
Research on RCS Similarity Algorithm of Non-cooperative Target Model
Author(s) -
Jianhua Zhang,
Huidong Huangfu,
Xiaojun Meng,
Tao Wei,
Kang Su,
Yongsheng Ding,
Sijin Xiong,
Ying Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1986/1/012133
Subject(s) - similarity (geometry) , weighting , computer science , algorithm , data mining , artificial intelligence , image (mathematics) , medicine , radiology
The RCS similarity evaluation is an important content of non-cooperative target model assessment. Aiming at the problems of the existing similarity measurement methods applied to the RCS similarity evaluation of non-cooperative target model, this paper proposes an algorithm which can quantitatively reflect the RCS similarity of non-cooperative target model. In order to better adapt to different data sets and make the algorithm more flexible, the weighting operators and penalty factors are introduced to further optimize the algorithm.