Fast and efficient detection of buried object for GPR image

Abstract

The detection and identification of buried objects in GPR images generally involve curve fitting or pattern recognition techniques, which require high computational power and long processing time, e.g., 42 minutes per image. So far, real time detection, which requires fast processing speed, has never been achieved. This paper presents a fast and efficient technique for the detection of buried landmines in the Southern Region of Thailand. The experiment set up consists of five types of soil in the areas with varying numbers and positions of landmines. The detection ratio is high with processing time in the range of 44-240 seconds. To the best of our knowledge, this can be considered as one of the fastest detection technique.