Toolbox for material classification of MMWR and FLIR for Enhanced Vision System

Kashyap, SK and Devendran, B and Ramamurthy , TV (2013) Toolbox for material classification of MMWR and FLIR for Enhanced Vision System. In: WiSE-2013: Wireless, Signal Processing and Embedded Systems, 2013-06-21, BMS College of Engineering, Bangalore.

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    Abstract

    To improve the situational awareness of an aircrew during poor visibility, different approaches emerged during the past few years. Enhanced vision systems (EVS – based on sensor images) are one of those. Typically, Enhanced vision systems concept is a combination of sensor data, environmental variables, internal and external state data and material database of the given geographical area.EVS uses weather penetrating forward looking image sensors such as Forward Looking Infrared Radar (FLIR) and HiVision Millimeter Wave Radar (HiVision MMWR). To generate the backscatter image from the imaging sensors, it is much important to develop a material classified database of the given geographical area. But development ofsuch material classified database requires various image processing tasks.Hence the main contribution of this paper is the implementation of GUI based toolbox which is capable of developing material database for both MMWR and FLIR by using different material properties for Enhanced Vision Systems functionalities.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: AERONAUTICS > Avionics & Aircraft Instrumentation
    Division/Department: Flight Mechanics and Control Division, Other, Other
    Depositing User: Mr. BS Shivaram
    Date Deposited: 17 Oct 2013 15:56
    Last Modified: 17 Oct 2013 15:56
    URI: http://nal-ir.nal.res.in/id/eprint/11800

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