Multiple sensors, including visible imagery, infrared imagery, and ground penetrating radar gpr, have been used to acquire data on a number of buried mines and mine surrogates. Mine detection article about mine detection by the free. However mining software engineering data poses several challenges, requiring various algorithms to effectively mine sequences, graphs and text from such data. Multiple sensors detect land mines vision systems design. Sensor technology is introduced prior to the image processing sections to help understand the character of the. Optical flame detection manufacturers have attempted to resolve this problem by using multiple sensors, each at a different wavelength. Pdf a comparative study of landmine detection techniques. Osa remote detection of buried landmines and ieds using. Table of content mine detection techniques using multiple sensors. An efficient design of electromagnetic induction metal detector sensor is achieved. Advanced tutorial on wireless communication and electronic tracking. Vibration analysis and diagnostics is an important component for mining industry machinery engineers. Mine detection techniques using multiple sensors cheolha pedro lee.
An automatic approach to the detection and extraction of mine features in sidescan sonar scott reed, yvan petillot, and judith bell abstract mine detection and classification using highresolution sidescan sonar is a critical technology for mine counter measures mcm. There are several landmine detection techniques that. Mine detection techniques using multiple sensors citeseerx. Cortnee falconer, 126th press camp headquarters, michigan army national guard june 25, 2010. Applied behavior analysis is ideal for the development of a land mine detection technology using animals. Introduction landmines are currently used in all types of warfare, from local conflicts to high level military operations.
Combining gpr systems with metal detectors has been shown to. A survey of research on sensor technology for landmine detection. Landmine detection sensors contents metal detection. The test targets are suitable for use with metal detector, ground probing radar, thermal imaging, and seismicsonic mine. Software bug detection algorithm in fig 1 and figure 2. In, the authors report that bayesian inference techniques for fusing data using multiple sensors, metal detector, gpr, infrared camera, and magnetometer, can significantly improve the detection rate of landmines. A comparison between data mining prediction algorithms for. Therefore, there is a growing demand by these countries for reliable landmine inspection systems. If the target is composed of ferromagnetic material, it can easily be detected by emi electro magnetic induction.
Gprbased landmine detection and identification using. The device can be located even more accurately using the rssi or tof techniques if the device is in radio range of. In addition to wavelength discrimination via use of multiple sensors, most optical detectors measure the temporal characteristics of the signal, thereby analyzing the flame flicker properties. Acoustic waves can be a viable tool for the detection and identi.
Knowledge of mine safety and health principles and practices. Land mine detection using multispectral image fusion. Multiple sensors, including visible imagery, infrared imagery, and ground penetrating radar gpr, have been used to acquire data on. Pdf image processingbased mine detection techniques. In addition to wavelength discrimination via use of multiple sensors, most optical detectors measure the temporal characteristics of. It is capable of operating very long time using a new mechanism for the mine detection and extraction. They are used for standoff detection of explosives and explosive precursor components and defeating the improvised explosive devices ieds devices themselves as part of a broader counterterrorism, counterinsurgency, or law enforcement effort. Based on the target, mines are classified into two types. Mining vibration sensors for fault detection on mining machinery. Gprbased landmine detection and identification using multiple.
About anaqs20a anaqs20a is the most advanced and capable mine warfare sensor system, uniquely providing detection and classification through the integration of multiple sensors. It is used for making passages in enemy minefields and for clearing mines from the terrain. These methods involve the detection of landmines in the signals obtained by. Us navy tests aerial drones for realtime mine detection. Algorithms for detection and identification using multiple features are presented and tested with various examples.
The assumption is made that most mine detection techniques consist of. A low sidelobe antenna, a high stability transmitter, digital moving target detection doppler processing, and advanced automatic target extraction, aided by extensive adaptive mapping, are key features. For process and equipment engineers, maximizing equipment effectiveness, reducing yield excursions, improving product cycle time and enhancing the overall output of the factory are key success. In military operations, the object is to rapidly clear a path through a minefield, and this is often done with devices such as mine plows and blast waves. For process and equipment engineers, maximizing equipment effectiveness, reducing yield excursions, improving product cycle time and enhancing the overall output of. These landmines have indefinite life, and may still cause horrific personal injuries and economic dislocation for decades after a war has finished. Because of the variety of mine types, current mine detection techniques are diversified. Cortnee falconer, 126th press camp headquarters, michigan army national guard june 25. Uxo and landmine detection using 3dimensional ground. Applied behavior analysis is ideal for the development of a land mine detection technology using animals b. The army tested rudimentary gpr techniques for mine detection in the 1940s. Gichd, mine detection dogs mdds offer one of the most promising avenues for making demining operations faster and less expensive.
There are several landmine detection techniques that can be used for this. At present, the most common techniques for mine detection are manual, using either. Wilcoxon vibration monitoring sensors are used to detect faults, identify wear, prevent damage, and avoid costly repairs on mining equipment used in hazardous mining operations. Assessment of downlooking gpr sensors for landmine detection assessment of downlooking gpr sensors for landmine detection rosen, erik m. Uxo and landmine detection using 3dimensional ground penetrating radar system in a network centric environment. They also project that each year more than 2 million new land mines are deployed, while only about 100,000 land mines are cleared.
Ground compensation techniques can reduce detector sensitivity. A survey of landmine detection using hyperspectral imaging. Acquisition program administration, and agency for defense development. Ece 501 the project in lieu of thesis mine detection techniques using multiple sensors. Using robots in hazardous environments landmine detection, demining and other applications. Applying neural network technology to flame detectors. Feb 22, 2016 designed around the industrystandard crispdm model, supporting the entire data mining process, from data to better business results 10 iii.
The development of a new device for the detection of land mines begins with tests in a highly controlled environment, for example in this chamber which absorbs electromagnetic waves. International journal of antennas and propagation 2012 article. The system is towed undersea to simultaneously scan the water column for antishipping mines forward of, to the sides and beneath the vehicle. At trolex, we specialise in the development of mining and industrial sensors designed to withstand the harshest mining and industrial environments. As a sensing tool for subsurface environment, the gpr was. M jones behavioral technology group at the shriver center, university of massachusetts medical school. To do so, they have applied a variety of scan matching techniques and analyzed the acquired laser and radar data to improve the automatic detection of useful minebased features. It retrieves data from the sensors and enables basic data preprocessing and analytics in order to reduce the size of. Joint multisensor exploitation is used for fusing registered multiple detector outputs, which makes the decision based on the joint distribution formed by the multiple detector outputs. Using robots in hazardous environments sciencedirect.
Dsto landmine detection test targets ian chant, darren lee and daryl ireland. This work has four main objects, to survey previous research about mine detection, to collect signature data for future research, to experiment with the surveyed methods and collected data, and to propose an idea for an. A comparative study of landmine detection techniques. Software bug detection algorithm using data mining techniques. Teleoperated platforms naturally support multiple sensors and data fusion, which are necessary for reliable detection.
This work has four main objects, to survey previous research about mine detection, to collect signature data for future research, to experiment with the surveyed methods and collected data, and to propose an idea for an advanced method. We report results of an ongoing study designed to assess the ability for enhanced detection of recently buried landmines and or improvised explosive devices ied devices using passive longwave infrared lwir polarimetric imaging. An efficient design of electromagnetic induction metal detector sensor is. We have conducted experiments to demonstrate the enhanced detectability of buried land mines using sensor fusion techniques. The use of dogs for mine detection has expanded dramatically in the last ten years. This paper presents a featurelevel sensor fusion strategy based on three. Aug 22, 2000 most of the research has been focused on hardware design. A comparison between data mining prediction algorithms for fault detection case study. It retrieves data from the sensors and enables basic data preprocessing and analytics in order to. Multiclassifier buried mine detection using mwir images bo linga, anh h. The anpss14 revolutionizes landmine detection by combining ground penetrating radar gpr and highly sensitive metal detector md technology using advanced data fusion algorithms. But the us navys office of naval research is now testing aerial mine detection with a different twist. Specifically, the predictive maintenance technician will use advanced detection techniques vibration analysis.
The assumption is made that most mine detection techniques consist of sensor, signal processing. Automatic land mine detection and sweeper robot using microcontroller bharath j1 corresponding author. Mar 18, 2016 the development of a new device for the detection of land mines begins with tests in a highly controlled environment, for example in this chamber which absorbs electromagnetic waves. Targets are also painted for use on the ground surface with electrooptical imaging sensors. The assumption is made that most mine detection techniques consist of sensor, signal. Governments are looking into this situation seriously since landmines.
Discusses the development and applications of sensors for mine detection using different robotic systems. We report results of an ongoing study designed to assess the ability for enhanced detection of recently buried landmines andor improvised explosive devices ied devices using passive longwave infrared lwir polarimetric imaging. Automatic mine detection based on multiple features. Using dogs for mine and uxo detection became popular when humanitarian mine action boomed after the end of the cold war and the antipersonnel mine ban convention also known as the ottawa treaty was signed in 1997. Land mine detection and image processing slideshare.
Nov 02, 2012 land mine detection and image processing 1. However, research designed to explore and understand the issues underlying mine dog detection has not kept pace with that expansion. In this paper we describe and analyse sensor technology available including. The comrade system for multirobot autonomous landmine. Dec 22, 2009 advances made in american mine detection technologies during the mid 2000s included the aqs20a mine detecting sonar array and airborne laser systems mounted to mh60s helicopters. Advanced sensors are required to tell the difference between a land mine and harmless buried metal objects, which can include bottle tops, nails, shrapnel and spent bullets. When a target is located, the received power is greater, and. The chapter describes the design, implementation and integration of a ground penetrating radar gpr using a software defined radio sdr platform into the aerial drone. Wireless robot for personal mine detection and extraction. A realtime patient monitoring framework for fall detection. Automatic mine detection algorithm using ground penetration radar signatures, in detection and remediation technologies for mines. As much as the reflectances are similar, the probability of target existence at the pixel location is higher. These features can be reliably extracted at multiple robot locations for the purpose of. Assessment of downlooking gpr sensors for landmine detection.
The advanced landmine imaging system alis uses signatures from metal detectors and gpr to more accurately locate deep mines. The idea is to use such a system for realtime threat identification during combat. Uav for landmine detection using sdrbased gpr technology. Jun 10, 2005 read assessment of downlooking gpr sensors for landmine detection, proceedings of spie on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Applied behavior analysis is ideal for the development of a.
Fast and incremental loop closure detection using proximity graphs. Gpr was first used in 1929 to measure the depth of an austrian glacier olhoeft, 2002. Combining electromagnetic spectroscopy and groundpenetrating. A mine detector usually includes a searching device a frame, plate, or cylinder, a generator of electrical oscillations, an indicator sound, visual, or other, and. Advances made in american mine detection technologies during the mid 2000s included the aqs20a mine detecting sonar array and airborne laser systems mounted to mh60s helicopters. Bureau of politicalmilitary affairs, office of humanitarian demining programs. This paper addresses the need for improved sensors for mine clearance operations and.
Pdf mine detection techniques using multiple sensors semantic. The first commercial gpr systems were developed in 1972. Fault detection and classification fdc transforms sensor data into summary statistics and models that can be analyzed against user defined limits to identify process excursions. This document details the landmine detection test targets developed by, and available at dsto edinburgh, weapons system division. All of this is in the service of the usas new naval emphasis on littoral. Most of the research has been focused on hardware design. The current stateoftheart m c m techniques involv e deplo yment of assets that perform sequential operations of detection, classication, and neutralization 6. May 2012 land mine detection and image processing by ankush srivastava email.
The proposed ideas are tested on experimental data from. Maritime domain awareness with mine sweeping harris. Two methods for mine detection are proposed by barkat et al. Recent contributions have shown novel software radar techniques. However, the combination of these techniques has received much less attention. The tracking software must be able to calculate the miners position based on detection by multiple readers. Software bug detection algorithm software bug detection algorithm can be carried out in three steps 1. Detection of buried objects by fusing dualband infrared. This chapter presents an approach for explosivelandmine detection onboard an autonomous aerial drone.
Raytheon us navy collaboration improves mine detection. Detection of buried objects by fusing dualband infrared images. In case of target detection using hyperspectral imaging, crosscorrelation is used to compare an a priori known reflectance spectrum of the target with the reflectance spectrum of the pixel under test. An automatic detection using knowledgebased techniques is reported by filippidis filippidis 1999. Demining or mine clearance is the process of removing land mines from an area. These techniques have been perfected over several generations of.
An automatic approach to the detection and extraction of. At present, military analysts estimate that approximately 65 million land mines are buried in more than 60 countries. Jul, 2010 several countries suffer from the existence of millions of buried landmines in their territories. Surface and buried mine detection using mwir images. Landmines are causingenormous humanitarian and introduction. Very small minimummetal mines andor deep targets, low conductivity metals e. Uxo and landmine detection using 3dimensional ground penetrating. Ece 501 the project in lieu of thesis mine detection. We consider the problem of autonomous landmine detection using a team of. Landmines are causingeconomic problems in many countries enormous problems in a large numberall over the world. Mine detector a portable instrument for the detection of mines set in the ground or underwater. We developed a realtime fall detection system which consists of the following components. We consider the problem of autonomous landmine detection using a team of mobile robots. Applied behavior analysis is ideal for the development of.
Second australianamerican joint conference on the technologies of mines and mine countermeasures, sydney, australia. Abstract this paper presents a novel framework for evaluating target detection and classification algorithms. Innovative mine detection systems researchers in physical, chemical, and biological sciences are. This chapter describes an approach of featurebased sensor fusion for landmine detection on a mobile robot using several nonselective sensors. Since then, use of gpr for locating buried objects ranging from utility pipelines to archaeologi. Aug 30, 2016 about anaqs20a anaqs20a is the most advanced and capable mine warfare sensor system, uniquely providing detection and classification through the integration of multiple sensors. Underwater mine detection using symbolic p atter n. A strategy of stepbystep reduction of the false alarm rate is used with newly developed techniques of selective training and dominant class. Landmine detection techniques using multiple sensors, m. Sensor fusion technology enables robotic mine mapping. Polarimetric results are presented for a series of field tests conducted at various locations and soil types. Most operational prototype systems and data collection devices use multiple transmit and receive antennas that are directed. Counteried equipment are created primarily for military and law enforcement. Ece 501 the project in lieu of thesis mine detection techniques using multiple sensors cheolha pedro lee electrical and computer engineering the university of.
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