US Space Force increases efforts to plug training capabilities gaps
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
Opgal Optronic Industries has introduced a new image processor designed to significantly improve the clarity of thermal images, the company announced on 29 March.
Opgal Eye-Q delivers high-quality thermal images for a number of applications, including surveillance and optical gas imaging, where gas leaks can be noted in the air.
According to the company, the processing methods allow very fine details of the image to be visible, increasing the detection of small objects and previously undiscernible details; with the technology providing consistent imaging at all target temperatures.
The processor has been developed in response to demand for image quality as good as - or better than that of - CCD colour daylight cameras, with zero light and all weather capabilities.
Opgal Eye-Q has been built into the new Sii OP dual channel thermal camera system and is also available as an optional feature with several other Opgal systems.
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
The service has been conducting several acquisition and upgrading efforts involving artificial intelligence and machine learning to improve communication, data analysis and ISR systems.
The Syracuse 4B communications satellite, developed by Airbus and Thales Alenia Space, was launched last year, bolstering secure military satellite communications for the French Armed Forces. Thales has now been selected to provide terminals for vehicles.
The growing importance of space in modern warfare, advancements in satellite technology, and increasing threats from rivals like China and Russia were among the topics of a Eurosatory 2024 panel on military space operations.
AN/ARC-232A is a Starfire radio that provides VHF/UHF communications to airborne platforms and the transceiver is software-programmable, allowing for multiple waveform support as well as optional national electronic counter counter-measure (ECCM) capability.
During the 18-month period of the contract, Lockheed Martin will apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare and weapons within dynamic and operationally representative environments.