{"meta":{"id":"https:\/\/api.iclient.ifeng.com\/ipadtestdoc?aid=ucms_7yHgyhquZEn","type":"doc","o":"1","documentId":"ucms_7yHgyhquZEn"},"body":{"newStatus":"1","documentId":"ucms_7yHgyhquZEn","staticId":"ucms_7yHgyhquZEn","title":"用计算机视觉跟踪卫星姿态","shareTitle":"用计算机视觉跟踪卫星姿态","thumbnail":"http:\/\/d.ifengimg.com\/w150_h106_q100\/x0.ifengimg.com\/ucms\/2020_30\/60B34072D2D084D92C87554A78CB5DE4F95F3882_w662_h371.jpg","source":"蓝海星智库","author":"","editorcode":"weMedia","editTime":"2020-07-21 10:56:06","updateTime":"2020\/07\/21 10:56:06","wapurl":"http:\/\/\/\/mil.ifeng.com\/c\/7yHgyhquZEn","introduction":"","wwwurl":"http:\/\/\/\/mil.ifeng.com\/c\/7yHgyhquZEn","commentsUrl":"ucms_7yHgyhquZEn","commentCount":0,"text":"
美国空军理工学院研发出一种利用计算机视觉跟踪卫星姿态的技术,可用于伴随卫星对主卫星的监控。<\/p>
自主在轨卫星服务需要伴随卫星对其进行监控,以确保太阳能电池阵列、天线和传感器等铰接关节的正常工作。然而,传统跟踪技术存在特征点数量不足、分辨率低等缺点。研究团队提出,可从伴随卫星拍摄的图像中提取轮廓,建立主卫星的铰接关节模型,实时跟踪主卫星姿态。该模型使用平均值和两个sigma点表示状态概率分布,为无迹卡尔曼滤波器提供输入,滤波器的状态向量可表征组件运动的姿势和速率、每个关节的关节角度和角速率,从而以恒定速率跟踪主卫星姿势和关节角度。试验结果表明,该技术能成功跟踪主卫星的姿态,每次姿态更新最多耗时15秒。<\/p>
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图1 研究用卫星模型<\/p>
这项技术能有效跟踪主卫星的姿态,更新时间短,有望提高对主卫星健康状态的监测能力。<\/p>","img":[{"url":"http:\/\/d.ifengimg.com\/mw640_q100\/x0.ifengimg.com\/res\/2020\/8CE04E01B1B4D8FB2B46FB6D948122F5DB2C814D_size78_w662_h433.jpeg","size":{"width":"640","height":"418"}}],"summary":"美国空军理工学院研发出一种利用计算机视觉跟踪卫星姿态的技术,可用于伴随卫星对主卫星的监控。自主在轨卫星服务需要伴随卫星对其进行监控,以确保太阳能电池阵列、天线和","sharesummary":"美国空军理工学院研发出一种利用计算机视觉跟踪卫星姿态的技术,可用于伴随卫星对主卫星的监控。自主在轨卫星服务需要伴随卫星对其进行监控,以确保太阳能电池阵列、天线和","commentType":"0","wemediaEAccountId":"525202","showclient":"0","shareurl":"https:\/\/ishare.ifeng.com\/c\/s\/v002p54hW5Xeltl6eOGC9--8xwpgFh-_OfIrQBpqIcDzaRpPo__","praise":"74","like_num":"74"}}