MODEL PENDETEKSIAN ROKET PADA PENILAIAN LATIHAN PENEMBAKAN UDARA KE DARAT MENGGUNAKAN INTEGRASI IMAGE SUBTRACTION DAN 2D-VIEW GEOMETRY

The results obtained from rocket fire exercise of Aerial Weapon Scoring System (AWSS) is one of key factors for improving fighter�s skills. Generally, AWSS is currently based on the position of the explosion point in the firing range. Observation of air-to-ground rockets firing...

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Bibliographic Details
Main Authors: , Ardian Infantono, , Teguh Bharata Adji, S.T.,M.T.,M.Eng.,Ph.D.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
Description
Summary:The results obtained from rocket fire exercise of Aerial Weapon Scoring System (AWSS) is one of key factors for improving fighter�s skills. Generally, AWSS is currently based on the position of the explosion point in the firing range. Observation of air-to-ground rockets firing exercise at the Air Weapon Range (AWR) is always conducted from a far distance. To date, AWSS does not focus to analyze the influence factors of exercise, i.e skills of fighter pilots and ground crews, aircraft avionics systems, weapons systems, and quality of the rocket. The proposed model to detect the rocket fire uses motion detection method based on Image Subtraction integrated with 2D-View Geometry method. The approach of 2D-View Geometry method produces the same perception between the camera and computer screen which starts from the beginning of observation up to the calculation and presentation of results. The proposed model succesfully inform the position of the rocket explosion point and its distance from central point, and the angle and shape of the rocket trajectory. The results are more detailed than the actual scoring of Range Safety Officer at AWR. These results can be analyzed and reported to the pilot so he could make the right decision easily at his next shot, which also can be used as materials for evaluating some influences factors of air-to-ground rocket firing exercise completely and improve the features and functions of AWSS more better.