DOI : https://doi.org/10.18517/ijaseit.1.2.37

Application of Artificial Intelligent For Armour Vehicle Detection Using Digital Image Processing For Aerial Application

Kamaruddin Abd Ghani (1), Hafizan Yosri (2)
(1) Department of Electrical & Electronic Engineering, National Defence University of Malaysia
(2) Department of Electrical & Electronic Engineering, National Defence University of Malaysia
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How to cite (IJASEIT) :
Abd Ghani, Kamaruddin, and Hafizan Yosri. “Application of Artificial Intelligent For Armour Vehicle Detection Using Digital Image Processing For Aerial Application”. International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 2, Apr. 2011, pp. 173-7, doi:10.18517/ijaseit.1.2.37.
Citation Format :
This paper will presents a new automatic target recognition (ATR) algorithm to detect targets such as battle tanks and armoured personal carriers especially that been used by Malaysia Armed Forces from air-to- ground scenario. Numerous friendly-fire incidents justify the need for identification of armour vehicle in both command control and weapon systems. Rapid and reliable identification of the targets at maximum surveillance is a challenging problem. In this paper work, the reliable method to segregate the potential target from the background scene such as Fourier Transform is applied before the extracted target will be process in order to get the detail of edges and boundaries using Hough Transform. The edges will provide sufficient information for the system to generate training data for Artificial Neural Network simulation to recognize the potential target image.

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