By Lawrence A. Klein
This publication illustrates some great benefits of sensor fusion by means of contemplating the features of infrared, microwave, and millimeter-wave sensors, together with the effect of the ambience on their functionality. purposes that make the most of this expertise contain: vehicular site visitors administration, distant sensing, objective type and monitoring, climate forecasting, army and fatherland protection. masking information fusion algorithms intimately, the writer encompasses a precis of the knowledge required to enforce all of the algorithms mentioned, and descriptions process program eventualities which can restrict sensor measurement yet that require excessive solution info.
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Extra resources for Sensor and Data Fusion - A Tool for Information Assessment and Decision Making
10 for linear polarization radars. 37 through 70 GHz obtained with a radar that transmitted and received vertical polarization signals as indicated by the V-V polarization notation. 5- to 7-mm range. 5 mm. 5 mm. 5 mm. 21 According to Crane, measurements of raindrop size distributions contain large variations for the same location, rain type, and rain rate. 32 The theory for rain backscatter coefficient adequately models the measured values. MULTIPLE SENSOR SYSTEM APPLICATIONS, BENEFITS, AND DESIGN CONSIDERATIONS 27 If backscatter is large at the selected frequency of operation, a potential solution is to use circular polarization.
Some of the models only address atmospheric effects, while others, such as EOSAEL, model more complex problems and scenarios. 9 EOSAEL 87 modules and their functions. 9 EOSAEL 87 modules and their functions (continued). 9 EOSAEL 87 modules and their functions (continued).
The modules can be executed under the control of an executive routine or in a stand-alone mode. Versions that allow the program to run on a variety of computers are available in FORTRAN 77. 9. Three modules of particular interest are the previously discussed LOWTRAN and NMMW (both found in the gases category) and TARGAC. NMMW models the effects of atmospheric gases on MMW sensors. S. 13,55–57 The FLIR performance model describes the relation of the target-to-background contrast temperature to the sensor resolution and the range between the sensor and target at which the target can be detected, classified, or identified.