Testing and Evaluation of Low-Light Sensors to Enhance Intelligence, Surveillance, and Reconnaissance (ISR) and Real-Time Situational Awareness

Video cameras have increased in usefulness specific to military applications over the course of the past four decades providing remotely controlled and viewed high-definition color images both at day and night conditions making them ideal for defense applications including force protection, critical asset monitoring, and perimeter surveillance. This is a result of many advances in technology including production of high-definition sensors, developing new video compression algorithms and IP capabilities, auto tracking features, image stabilization etc. Furthermore, the evolution of wireless networking technology and capability provides new practical options to gather Intelligence, Surveillance, and Reconnaissance ISR information. The goal of this thesis is to test and evaluate performance and suitability of low-light cameras in a variety of operating environments and as a possible to more expensive infrared, thermal, or night vision applications. Understanding the true capabilities and limitations of the ALAN camera and its applicability to a wireless network by using an aerial vehicle will allow appropriate application and operation for military purposes.