Improved Classification Performance Using ISAR Images and Trace Transform

被引：22

作者：

Lee, Seung-Jae ^{[1
]}

Park, Sang-Hong ^{[2
]}

Kim, Kyung-Tae ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Elect Engn, Pohang 37673, South Korea

[2] Pukyong Natl Univ, Dept Elect Engn, Busan 48513, South Korea

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2017年 / 53卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

EFFICIENT CLASSIFICATION; TARGET RECOGNITION; RADAR; ALGORITHM; MOTION;

D O I：

10.1109/TAES.2017.2667284

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper proposes a new scheme for improving the classification performance of inverse synthetic aperture radar (ISAR) images. The proposed scheme utilizes the trace transform to gather abundant information from an ISAR image, regardless of the spatial distribution of the target response in the ISAR image. In simulations using ISAR images with various spatial distributions, the proposed scheme substantially improved the classification performance compared with existing methods, which are highly vulnerable to spatial variation.

引用

页码：950 / 965

页数：16

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