空间目标ISAR图像部件正向标记方法

doi:10.12305/j.issn.1001-506X.2026.04.07

Abstract

Abstract:

To address the pain point of data requirements for deep learning based spatial target inverse synthetic aperture radar (ISAR) image interpretation, a forward labeling method for ISAR image components of space targets is proposed. Firstly, the three-dimensional model of the space target is divided into parts according to components. Then, different components are projected, and considering that the target itself is occluded, the depth buffer algorithm is used to judge the face element occlusion. Finally, the point collection of different parts is detected at the edge, and the component labels are obtained. The proposed method realizes the forward labeling of ISAR image components of space targets, solves the problems of low manual efficiency and difficulty to achieve manual labeling of fine components, providing strong data labeling support for the space targets component identification method of ISAR images oriented to deep learning.

Key words: space target, component labeling, inverse synthetic aperture radar (ISAR), deep learning

CLC Number:

Zeying YANG, Zhuo CHEN, Zhiming XU, Xiaofeng AI, Qihua WU, Ling WANG. Forward labeling method for ISAR image components of space targets[J]. Systems Engineering and Electronics, 2026, 48(4): 1165-1173.

Figures/Tables 13

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References 31

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部件中文名称	英文名称	颜色（RGB）	颜色示例
太阳能帆板	Solar panel	[1 1 0]
主体	Body	[1 0 0]
SAR天线	SAR antenna	[0 1 0]
RA2天线	RA2-antenna	[0 0 1]
X波段天线	X-band antenna	[0 1 1]
全球臭氧层监视仪	GOMOS	[0 0.4470 0.7410]
中等分辨率成像频谱仪	MERIS	[0.9290 0.6940 0.1250]
载荷	Payload	[0.4940 0.1840 0.5560]
大气探测迈克尔逊干涉仪	MIPAS	[0.6350 0.0780 0.1840]
先进跟踪扫描辐射计	AATSR	[0.8500 0.3250 0.0980]
扫描成像吸收频谱仪	SCIAMACHY	[0.01 0.66 0.62]
Ka波段天线	Ka-band antenna	[0.3010 0.7450 0.9330]

部件中文名称	英文名称	颜色（RGB）	颜色示例
太阳能帆板	Solar panel	[1 1 0]
主体	Body	[1 0 0]
天线1	Antenna-1	[0 1 0]
天线2	Antenna-2	[0 0 1]
储能设备	Battery	[1 0 1]
对接机构	Docking machansim	[0.4660 0.6740 0.1880]
喷管	Nozzle	[0.9290 0.6940 0.1250]
载荷	Payload	[0.4940 0.1840 0.5560]
望远镜	Telescope	[0.6350 0.0780 0.1840]

参数	设量
模型名称	EnviSat/天链一号
中心频率/GHz	10
带宽/GHz	2
俯仰角/(°)	$0\sim 90 $
方位角/(°)	$ -180 \sim 180$

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Forward labeling method for ISAR image components of space targets

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