Using Image Processing Methods to Improve the Detection of Buried Explosive Threats in GPR Data
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چکیده
Using Image Processing Methods to Improve the Detection of Buried Explosive Threats in GPR Data
منابع مشابه
A Label Propagation Approach for Detecting Buried Objects in Handheld GPR Data
Conference Name: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, SPIE Defense and Security Symposium A Label Propagation Approach for Detecting Buried Objectsin Handheld GPR Data Report Title Detection of buried landmines and other explosive objects using ground penetrating radar (GPR) has been investigated for almost two decades and several classifiers have been de...
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In this paper we consider the development of algorithms for the automatic detection of buried threats using ground penetrating radar (GPR) measurements. GPR is one of the most studied and successful modalities for automatic buried threat detection (BTD), and a large variety of BTD algorithms have been proposed for it. Despite this, large-scale comparisons of GPR-based BTD algorithms are rare in...
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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 cl...
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تاریخ انتشار 2016