Fusion of KLMS and Blob Based Pre-Screener for Buried Landmine Detection Using Ground Penetrating Radar

Fusion of forward-looking infrared camera and down-looking ground penetrating radar for buried target detection Yuksel, Seniha Esen; Akar, Gözde; Ozturk, Serhat (2015-04-23) In this paper, we propose a system to detect buried disk-shaped landmines from ground penetrating radar (GPR) and forward-looking long wave infrared (FL-LWIR) data. The data is collected from a test area of 500m(2), which was prepared at the IPA Defence, Ankara, Turkey. This test area was divided into four lanes, each of size 25m length by 4m width and 1m depth. Each lane was first carefully cleaned of stones and clutter and then filled with different soil types, namely fine-medium sand, course sand, sandy ...
Fusion of thermal- and visible-band video for abandoned object detection Beyan, Cigdem; Yiğit, Ahmet; Temizel, Alptekin (2011-07-01) Timely detection of packages that are left unattended in public spaces is a security concern, and rapid detection is important for prevention of potential threats. Because constant surveillance of such places is challenging and labor intensive, automated abandoned-object-detection systems aiding operators have started to be widely used. In many studies, stationary objects, such as people sitting on a bench, are also detected as suspicious objects due to abandoned items being defined as items newly added to ...
Combination of physics-based and image-based features for landmine identification in ground penetrating radar data Genc, Alper; Akar, Gözde (SPIE-Intl Soc Optical Eng, 2019-4-23) Ground penetrating radar (GPR) is a powerful technology for detection and identification of buried explosives, especially with little or no metal content. However, subsurface clutter and soil distortions increase false alarm rates of current GPR-based landmine detection and identification methods. Most existing algorithms use shape-based, image-based, and physics-based techniques. Analysis of these techniques indicates that each type of algorithm has a different perspective to solve the landmine detection a...
FUSION OF IMAGE SEGMENTATION ALGORITHMS USING CONSENSUS CLUSTERING Ozay, Mete; Yarman Vural, Fatoş Tunay; Kulkarni, Sanjeev R.; Poor, H. Vincent (2013-09-18) A new segmentation fusion method is proposed that ensembles the output of several segmentation algorithms applied on a remotely sensed image. The candidate segmentation sets are processed to achieve a consensus segmentation using a stochastic optimization algorithm based on the Filtered Stochastic BOEM (Best One Element Move) method. For this purpose, Filtered Stochastic BOEM is reformulated as a segmentation fusion problem by designing a new distance learning approach. The proposed algorithm also embeds th...
Extension of Forward Backward Method with DFT Based Acceleration Algorithm for The Efficient Analysis of Radiation Scattering from Large Finite Printed Dipole Arrays Aydın Çivi, Hatice Özlem (Wiley, 2003-04-01) A discrete‐Fourier‐transform (DFT) based forward‐backward (FB) algorithm has been developed for the fast and accurate analysis of electrically large freestanding dipole arrays [1]. In this paper, an extension of the FB method (FBM) with a DFT‐based acceleration approach is presented to provide a relatively efficient analysis of EM radiation/scattering from an electrically large, planar, periodic, finite dipole array printed on a grounded dielectric substrate. Computational complexity of this new approach is...

Citation Formats

B. Baydar, G. Akar, S. E. Yuksel, and S. Ozturk, “Fusion of KLMS and Blob Based Pre-Screener for Buried Landmine Detection Using Ground Penetrating Radar,” 2016, vol. 9823, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/33258.