Advanced Image Spacing by Specialized Astronomic Interferometry and Fiber Optic Controls

The present operations scenario employs military satellites that serve as vital sources of data and communications. The DARPA's Phoenix program facilitates removal and fixing of functional solar arrays or antennas from old satellites in the geosynchronous orbit or GEO that lies 36,000 km above the earth and enables that they are used as components for new satellites to offer mission support.

The present ground-based satellite imaging techniques do not offer simplified recognition of cooperating satellites. However, generating an array from those satellites remain complex. Precise fiber optic controls can make this possible. Accelerated imaging of objects in GEO can be facilitated through DARPA's Galileo program that anticipates combining the precision fiber optic controls and long-baseline astronomical interferometry technical communities.

The imaging objects technology in space employs astronomical long-baseline interferometers. These depend on numerous interconnected telescopes that are combined together to determine light reflections from an astronomical object while being transmitted through the sky. The combination of evacuated light pipes of hundreds of feet long, altering mirrors and the active metrology existing in telescopes makes the existing systems to view space objects from limited angles. This facilitates the generation an extremely high-precision optical path.

Compared to the Earth's rotation, the imaging objects move slowly across the sky and its process through GEO is time-consuming. The power of precision fiber optic controls has been utilized by Galileo, to link the astronomical interferometry telescopes through flexible fiber optics cable, eliminating rigid light pipes requisite. An extensive amount of interconnected mobile telescopes can be obtained through the Fiber optics technology. The essential data of an object in GEO from multiple angles is rapidly captured, facilitating accelerated production of images.

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