Suchergebnisse

Electro-optical and infrared (EO/IR) sensor models are useful tools that can facilitate understanding a system's behavior without expensive and time-consuming testing of an actual system. EO/IR models are especially important to the military industry where truth data is required but is sometimes impractical to obtain through experimentation due to expense or difficulties in procuring hardware. This work describes implementation of a focal plane array (FPA) model of charge-coupled device (CCD) and complementary metal-oxide semiconductor (CMOS) photodetectors as a component in the Air Force Institute of Technology (AFIT) Sensor and Scene Emulation Tool (ASSET). The FPA model covers conversion of photo-generated electrons to voltage and then to digital numbers. It incorporates sense node, source follower, and analog-to-digital converter (ADC) components contributing to gain non-linearities and includes noise sources associated with the detector and electronics such as shot, thermal, 1/f, and quantization noise. This thesis describes the higher fidelity FPA and electronics model recently incorporated into ASSET, and it also details validation of the improved model using EO/IR imager data collected with laboratory measurements. The result is an improved model capable of generating realistic synthetic data representative of a wide range of systems for use in new algorithm development and data exploitation techniques supporting a broad community of academic, commercial, and military researchers.