Statistical moments calculated via integral images in application to landmine detection from Ground Penetrating Radar 3D scans
نویسندگان
چکیده
منابع مشابه
Ground Penetrating Radar Signal Processing for Landmine Detection
This thesis is concerned with detection logarithms of non-metallic anti-personnel (AP) land mines and the related signal processing using stepped-frequency ground penetrating radar (SF-GPR) technique. Modern land mines are essentially made out of plastic and ceramic materials. This makes their detection using GPR sensor almost impossible without proper signal processing. Many signal processing ...
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Downward looking ground penetrating radar (GPR) has been considered a viable technology for landmine detection. For such a GPR with the antennas positioned very close to the ground surface, the reflections from the ground surface, i.e., the ground bounce, are very strong and can completely dominate the weak returns from shallowly buried plastic mines. Hence, one of the key challenges of using G...
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Image Processing Methods Applied to Landmine Detection in Ground Penetrating Radar
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This paper addresses the need for improved sensors for mine clearance operations and humanitarian demining efforts. These operations require an information system that is capable of supporting activities such as planning, training, simulation, execution, documentation and assessment. To achieve this goal the system is best implemented using a service-based architecture, with sensors and other s...
متن کاملReal-Time Landmine Detection with Ground-Penetrating Radar Using Discriminative and Adaptive Hidden Markov Models
We propose a real-time software system for landmine detection using ground-penetrating radar (GPR). The system includes an efficient and adaptive preprocessing component; a hidden Markov model(HMM-) based detector; a corrective training component; and an incremental update of the background model. The preprocessing is based on frequency-domain processing and performs ground-level alignment and ...
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ژورنال
عنوان ژورنال: Pattern Analysis and Applications
سال: 2017
ISSN: 1433-7541,1433-755X
DOI: 10.1007/s10044-016-0592-5