The European Computer Model for Optronic System Performance Prediction (ECOMOS)

被引:7
作者
Kessler, Stefan [1 ]
Bijl, Piet [2 ]
Labarre, Luc [3 ]
Repasi, Endre [1 ]
Wittenstein, Wolfgang
Buersing, Helge [1 ]
机构
[1] Fraunhofer IOSB, Gutleuthausstr 1, D-76275 Ettlingen, Germany
[2] TNO, NL-3769 ZG Soesterberg, Netherlands
[3] ONERA French Aerosp Lab, FR-91123 Palaiseau, France
来源
ELECTRO-OPTICAL AND INFRARED SYSTEMS: TECHNOLOGY AND APPLICATIONS XIV | 2017年 / 10433卷
关键词
EO-System Performance; Target Acquisition; TRM Model; TOD Method; MATISSE; Thermal Imager Assessment; Image Simulation; Analytical Model; TRIANGLE ORIENTATION DISCRIMINATION; TEMPERATURE DIFFERENCE; THERMAL IMAGERS; TOD; TARGETS;
D O I
10.1117/12.2279820
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
ECOMOS is a multinational effort within the framework of an EDA Project Arrangement. Its aim is to provide a generally accepted and harmonized European computer model for computing nominal Target Acquisition (TA) ranges of optronic imagers operating in the Visible or thermal Infrared (IR). The project involves close co-operation of defence and security industry and public research institutes from France, Germany, Italy, The Netherlands and Sweden. ECOMOS uses and combines well-accepted existing European tools to build up a strong competitive position. This includes two TA models: the analytical TRM4 model and the image-based TOD model. In addition, it uses the atmosphere model MATISSE. In this paper, the central idea of ECOMOS is exposed. The overall software structure and the underlying models are shown and elucidated. The status of the project development is given as well as a short discussion of validation tests and an outlook on the future potential of simulation for sensor assessment.
引用
收藏
页数:13
相关论文
共 35 条
  • [1] [Anonymous], 1995, ACQUIRE RANGE PERFOR
  • [2] [Anonymous], 2007, OPINION MODEL VIDEOP
  • [3] Validation of the new triangle orientation discrimination method and ACQUIRE model predictions using observer performance data for ship targets
    Bijl, P
    Valeton, JM
    [J]. OPTICAL ENGINEERING, 1998, 37 (07) : 1984 - 1994
  • [4] Identification of military targets and simple laboratory test patterns in band-limited noise
    Bijl, P
    Hogervorst, MA
    Toet, A
    [J]. INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XV, 2004, 5407 : 104 - 115
  • [5] TOD, NVTherm and TRM3 model calculations: a comparison
    Bijl, P
    Hogervorst, MA
    Valeton, JM
    [J]. INFRARED AND PASSIVE MILLIMETER-WAVE IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING, 2002, 4719 : 51 - 62
  • [6] Triangle orientation discrimination: the alternative to minimum resolvable temperature difference and minimum resolvable contrast
    Bijl, P
    Valeton, JM
    [J]. OPTICAL ENGINEERING, 1998, 37 (07) : 1976 - 1983
  • [7] Guidelines for accurate TOD measurement
    Bijl, P
    Valeton, JM
    [J]. INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING X, 1999, 3701 : 14 - 25
  • [8] TOD predicts target acquisition performance for staring and scanning thermal imagers
    Bijl, P
    Valeton, JM
    de Jong, AN
    [J]. INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XI, 2000, 4030 : 96 - 103
  • [9] Bijl P., 2010, P SOC PHOTO-OPT INS, V7662
  • [10] Bijl P., 2012, P OPTRO