Three-Dimensional Geometry Reconstruction of Spin Target based on Distributed ISAR Images Entropy

被引：0
|
作者：
Tan, Weiyi [1 ]
Wang, Yu [1 ]
Tian, Biao [1 ]
Xu, Shiyou [1 ]
机构：
[1] Sun Yat Sen Univ, Sch Elect & Commun Engn, Shenzhen Campus, Shenzhen, Peoples R China
来源：
2024 9TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, ICSIP | 2024年
基金：
中国国家自然科学基金;
关键词：
ISAR; 3D Reconstruction; Distributed ISAR; Spin Target;
D O I：
10.1109/ICSIP61881.2024.10671473
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Traditional single-station ISAR surveillance suffer from target structural imformation loss and attitude sensitivity. In this paper a three-Dimensional geometry reconstruction of spin target based on distributed ISAR image entropy is proposed. First each ISAR image is scaled based on minimun entropy mehtod. Second combined with the effective rotation speed for each ISAR images, the target self-spin vector is estimated. Finally, the ISAR sequence energy accumulation method is used to reconstruct target 3D structure. Experimental results based on the simulated point model and electromagnetic simulation validate the effectiveness of the proposed method.
引用
收藏
页码：680 / 683
页数：4
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