Boettcher Evelyn J, Krapels Keith, Driggers Ron, Garcia Jose, Schuetz Christopher, Samluk Jesse, Stein Lee, Kiser William, Visnansky Andrew, Grata Jeremy, Wikner David, Harris Russ
DCS Corporation, 6909 Metro Park Drive, Suite 500, Alexandria, Virginia 22310, USA.
Appl Opt. 2010 Jul 1;49(19):E58-66. doi: 10.1364/AO.49.000E58.
Passive millimeter wave (pmmW) imagers are quickly becoming practical sensor candidates for military and nonmilitary tasks. Our focus was to adapt the Night Vision [U.S. Army Research Development and Engineering Command, Communications and Electronics Research Development and Engineering Center, Night Vision and Electronics Sensors Directorate (NVESD)] passive thermal infrared imager performance models and apply them to pmmW imaging systems for prediction of field performance for the task of small watercraft and boat identification. The Night Vision Lab's infrared sensor model has been evolving since the 1950s, with the most current model being NVThermIP [Night Vision Thermal and Image Processing (NVThermIP) Model Users Manual, Rev. 9 (U.S. Army RDECON, CERDEC, NVESD, 2006)]. It has wide recognition as an engineering tool for sensor evaluation. This effort included collecting pmmW signatures for a representative set of targets, conducting an observer perception experiment, and deriving the task difficulty criteria that can be used in NVThermIP for identification of boats. The task difficulty criteria are used by designers and managers to create systems capable of meeting specific performance criteria in the field.
被动毫米波(pmmW)成像仪正迅速成为军事和非军事任务中切实可行的传感器候选产品。我们的重点是调整夜视[美国陆军研究、开发与工程司令部,通信与电子研究、开发与工程中心,夜视与电子传感器局(NVESD)]被动热红外成像仪性能模型,并将其应用于pmmW成像系统,以预测小型船只识别任务的现场性能。自20世纪50年代以来,夜视实验室的红外传感器模型一直在不断发展,最新的模型是NVThermIP[《夜视热成像与图像处理(NVThermIP)模型用户手册》,第9版(美国陆军RDECON,CERDEC,NVESD,2006年)]。它作为一种传感器评估的工程工具得到了广泛认可。这项工作包括为一组具有代表性的目标收集pmmW特征,进行观察者感知实验,以及推导可用于NVThermIP识别船只的任务难度标准。设计人员和管理人员使用任务难度标准来创建能够在现场满足特定性能标准的系统。