会议专题

Infrared Signatures Modeling of Rocket Debris Based on the Remote Detection

  The curved debris separated from rockets,the most objects frequently appeared in the threat complex,make the classification of ballistic targets very hard.However,rocket debris has not drawn enough research attention and current data generative model of convex objects is not applied to non-closed curved debris.This paper explores the method of modeling the infrared(IR)irradiance signatures of rocket debris to support the research of target classification in the remote detection.The IR irradiance intensity of non-closed debris is formulated as a parametric function of geometrical shape patches,line-of-sight of IR sensor,and other radiant coefficients.Further,IR signature modeling is achieved with respect to debris rotational motions.The data generative models of missile debris would become an important data source for ballistic target classification.

Rocket debris IR signature simulation target classification rotation motions

Junliang Liu Shangfeng Chen Huanzhang Lu Bendong Zhao

School of Electronic Science and Engineering,National University of Defense Technology Deya Road 109,Kaifu District,Changsha,Hunan,P.R.China,410073

国际会议

2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

重庆

英文

997-1000

2017-03-25(万方平台首次上网日期,不代表论文的发表时间)