Background is assumed to be uniform usually for evaluating the performance of thermal imaging systems, however the impact of background cannot be ignored for target acquisition in reality, background character is important research content for thermal imaging technology. A background noise parameter 𝜎 was proposed in MRTD model and used to describe background character. Background experiments were designed, and some typical backgrounds (namely lawn background, concrete pavement background, trees background and snow background) character were analyzed by 𝜎. MRTD including 𝜎 was introduced into MRTD-Channel Width (CW) model, the impact of above typical backgrounds for target information quantity were analyzed by MRTD-CW model with background character. Target information quantity for different backgrounds was calculated by MRTD-CW, and compared with that of TTP model. A target acquisition performance model based on MRTD-CW with background character will be research in the future.
The impact of nature environment on the synthesized performance of thermal imaging systems was researched comparing with the targeting task performance (TTP) model. A nature background noise factor was presented and introduced into the minimum resolvable temperature difference channel width (MRTD-CW) model. The method for determining the nature background noise factor was given. A information quantity model based on MRTD-CW model was proposed to evaluate the impact of nature environment on the synthesized performance of thermal imaging systems. A normalized parameter was introduced into the information quantity model. Different background experiments were performed, and the results were analyzed and compared with those of TTP model.