Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction precision for disaster monitoring, maritime surveillance, and other emergent or continuous persistent observing situations. First, we analyze the necessity of onboard information fusion. Next, the recent onboard processing developments are summarized and the existing problems are discussed. Furthermore, the key technologies and concepts of onboard information fusion are summarized in the fields of feature representation, association, feature-level fusion, spatial computing architecture, and other issues. Finally, the future developments of onboard information fusion are investigated and discussed.

中文翻译：

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多卫星协作观测的星载信息融合：总结、挑战和观点

基于空间计算模式的多星星载信息融合，可以提高卫星的时空覆盖范围、探测精度、识别置信度、定位精度和预测精度等能力，用于灾害监测、海上监视等领域。紧急或持续持续观察的情况。首先分析星载信息融合的必要性。接下来，总结了近年来机载处理的进展并讨论了存在的问题。进一步总结了星载信息融合的特征表示、关联、特征级融合、空间计算架构等问题的关键技术和概念。最后，对星载信息融合的未来发展进行了研究和讨论。