Advanced Reconnaissance Sensors 2018-2020 - Final report
Publish date: 2020-12-21
Report number: FOI-R--5051--SE
Pages: 62
Written in: Swedish
Keywords:
- reconnaissance
- surveillance
- electro-optical
- infrared
- Vis/NIR
- SWIR
- LWIR
- night vision
- hyperspectral imaging
- polarimetric imaging
- compressed sensing
- compressive imaging
- machine learning
- deep learning
Abstract
This report is the final report for the project Advanced Reconnaissance Sensors, which during 2018 to 2020 has studied four passive electro-optical technologies: digital night vision, hyperspectral imaging, polarimetric imaging and compressive imaging. These technologies have the potential for new and/or improved capabilities for the Swedish Armed Forces to conduct future reconnaissance and surveillance. The technologies may also present new requirements for improvement of existing signature management solutions for platforms, camouflage and countermeasures. Digital night vision sensors will provide the Armed Forces with an improved capability to conduct nighttime operations, due to access to more advanced signal and image processing, as well as improved capabilities to store and transmit image related data within battlefield networks. Sensors for hyperspectral and polarimetric imaging will provide the Armed Forces with improved and more robust reconnaissance and surveillance capability due to target and background discrimination based on material and surface classification. Finally, sensors based on compressive imaging have the potential to result in cheaper and less complex sensors, with relaxed requirements of optical and detector performance, but at the cost of increased computing power requirements in image reconstruction.