一种星载图像智能处理装置设计与实现

doi:10.3969/j.issn.1674 1579.2022.05.009

Abstract

Abstract: In order to improve the in orbit intelligent processing capability and localization rate of satellites, a hardware platform for onboard image processing device is constructed via domestic intelligent chips as the core, and an improved deep learning algorithm based on YOLOV3 is designed and deployed on the platform. At the same time, in order to solve the problem of reliable application of domestic intelligent chip in space, the anti radiation reinforcement design is carried out, and the heat pipe and heat dissipation plate are combined to carry out heat dissipation. The image processing speed of this device is 2~4 times faster than that of NVIDIA Jetson TX2 GPU, and the recognition rate of six typical targets is better than 85%, which could realize the real time recognition of satellite optical image targets in orbit. Thermal simulation analysis and experimental verification show that the device can meet the requirements of in orbit use.

Key words: satellite borne, image, intelligent processing, domestic intelligent chip

CLC Number:

V443+.5

WU Panfeng, WU Baolin, WANG Yunsen, ZHU Qixing, WANG Minghe, GUO Qingyuan, YANG Ning, XU Mingdao. Design and Implementation of a Satellite Borne Image Intelligent Processing Device[J].Aerospace Contrd and Application, 2022, 48(5): 78-85.

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URL: http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/10.3969/j.issn.1674 1579.2022.05.009

http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/Y2022/V48/I5/78

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Design and Implementation of a Satellite Borne Image Intelligent Processing Device

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