Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite

Yijun Lin, Junxing Hu, Ling X. Li, Fengge Wu, Junsuo Zhao
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引用次数: 1

Abstract

Recently, software-defined satellite has become a research hotspot in the aerospace. Based on an advanced computing platform with open system architecture, researchers can upload software for specific tasks even the satellite has been launched into space. This paper we have designed an on-orbit application for China’s first software-defined satellite TianZhi-1, which use Android smartphone as a system platform. Two main tasks are focused on our work, one is to reduce data redundancy and the other is to compress the size of the software. First, a light-weight and extensible framework is designed to support different image processing algorithms. Following this, we propose a three-step approach for on-orbit valuable image extraction, include image denoising, stitching, and salient object extraction. Experiments on the real satellite achieve outstanding results.
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天智一号卫星在轨有价图像提取的设计与实现
近年来,软件定义卫星已成为航天领域的研究热点。基于开放系统架构的先进计算平台,即使卫星已经发射到太空,研究人员也可以上传特定任务的软件。本文以Android智能手机为系统平台,设计了中国首颗软件定义卫星“天智一号”的在轨应用。我们的工作主要集中在两个方面,一个是减少数据冗余,另一个是压缩软件的大小。首先,设计了一个轻量级的可扩展框架来支持不同的图像处理算法。在此基础上,提出了一种基于图像去噪、拼接和显著目标提取的在轨有价值图像提取方法。在真实卫星上的实验取得了优异的效果。
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