Tip and cue, sometimes referred to as tip and que, tipping and cueing, or tipping and queing, is a method in satellite imagery, remote sensing, and geospatial intelligence in which one sensor, satellite, or platform identifies an area or object of interest and cues another complementary sensor or platform to collect follow-up data. The method may operate within a satellite constellation, across different satellites, or between satellite, aerial, and ground-based systems. Tip and cue is used to improve persistent monitoring, reduce unnecessary collection, and gather information at different resolutions, timescales, and spectral characteristics. Published work has described tip and cue methods in maritime domain awareness, military space awareness, satellite characterization, search and rescue research, commercial Earth observation, and AI-based mission simulation. Examples include AIS, SAR, and electro-optical satellite coordination for maritime monitoring; tactical sensor tip-and-cue for space surveillance; and automated or AI-based tip-and-cue research for Earth observation.
Process Tip and cue refers to the process of monitoring an area or object of interest with one sensor and requesting another complementary sensor platform to acquire follow-up imagery or data over the same area. In a typical process, a cost-effective, low-resolution, or wide-field sensor identifies an object or location, and the collected information is passed to a higher-resolution sensor for follow-up investigation and analysis. The process can reduce the amount of data collected and stored while still allowing information to be gathered across varied resolutions, timescales, and spectral characteristics. The success of a tip-and-cue process depends on factors including latency between the initial collection and the availability of the tip, the type of object being monitored, the accuracy of trajectory estimation for moving objects, and the acquisition possibilities of the cueing sensor. Earlier availability of the tipping image after processing improves the ability of the cueing platform to conduct near real-time follow-up collection. In an example described by ICEYE, one satellite acquires an image of an area of interest containing a vessel and sends a tip to another satellite, which monitors the vessel while considering its trajectory and acquisition conditions. Complementary sensor systems are used because different sensors have different strengths and limitations. Optical remote-sensing systems can be limited by darkness and cloud cover, while synthetic-aperture radar can provide visibility under conditions where optical systems may be obstructed. Choices of radar imaging mode, polarization, and frequency band affect coverage, resolution, and interaction with materials, surfaces, and vegetation. Because different applications require different sensors and modalities, tip and cue can use sensor characteristics that complement the needs of specific remote-sensing tasks. Tip and cue systems can involve passive or active scanning methods and can include optical, radar, signal, or infrared characteristics. Some defense-oriented architectures also describe the use of both orbital and ground-based ELINT. Post proposed a tip-and-cue communication protocol in which a satellite producing a positive classification notifies other satellites, a ground station, and designated users. The process becomes more difficult when the object of interest is moving rather than stationary, because the cueing satellite must account for the object's velocity and the uncertainty of its trajectory. ICEYE identifies latency, object type, trajectory-estimation accuracy, and the acquisition possibilities of the cueing satellite as critical factors in the success of a tip-and-cue process. Automated tip-and-cue systems can reduce manual intervention, delays, and human error by combining object detection and tracking, moving areas of interest, and ground-segment architecture that supports acquisition over moving targets.
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