MOVING TARGET DETECTION AND TRACKING BASED ON GMPHD FILTER IN SAR SYSTEM

被引：0

作者：

Zhang, Yun ^{[1
]}

Mu, Huilin ^{[1
]}

Jiang, Yicheng ^{[1
]}

Hua, Qinglong ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin, Heilongjiang, Peoples R China

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Ground moving target indication (GMTI); Moving target tracking; Gaussian mixture probability hypothesis density (GMPHD) filter; Synthetic aperture radar (SAR); Clutter suppression;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a novel moving target detection and tracking approach is presented based on Gaussian mixture probability hypothesis density (GMPHD) filter in synthetic aperture radar (SAR). Based on the advantages of GMPHD filter and the characteristics of moving target in SAR imagery, GMPHD filter is employed on potential moving target candidates extracted from a sequence of temporal and spatial sub-aperture SAR images to detect and track the moving targets in heavy clutter environment. Utilizing the tracking algorithm, the states and the number of moving targets are obtained over time. Simultaneously, the strong ground stationary clutter lacking of the dynamic behavior is eliminated finally. Both simulation and real Gotcha data set processing results are provided to demonstrate the effectiveness of the proposed approach.

引用

页码：2318 / 2321

页数：4

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