基于条件随机场的天体亚像素定位检测方法及系统

By employing a conditional random field-based method and utilizing multi-scale feature maps and correlation graph optimization techniques, the recall and accuracy issues of detecting and locating faint celestial objects were resolved, achieving high recall and sub-pixel-level localization. This method is suitable for image processing of ground-based optical telescopes and space target surveillance.

CN122090044BActive Publication Date: 2026-07-17PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
Filing Date
2026-04-23
Publication Date
2026-07-17

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Abstract

本发明属于天文图像处理领域，具体涉及了一种基于条件随机场的天体亚像素定位检测方法及系统，旨在解决现有检测头对暗弱天体目标检测召回率低、定位精度不足的问题。本发明包括：获取多尺度特征图；分别生成目标中心显著性热力图和初始前景掩码；将三者输入条件随机场框架进行协同优化，利用初始前景掩码构成一元势能、像素关系关联图构成二元势能，迭代更新前景置信度概率和指向目标中心的亚像素偏移量，输出优化后前景掩码和偏移量场；融合生成天体目标的检测框及亚像素级中心坐标。本发明通过结构化概率推理将前景分割与偏移量回归协同优化，显著提升了对暗弱天体目标的检测鲁棒性与亚像素级定位精度。
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