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At the rate that government and nongovernmental organizations are clearing existing landmines, it will take 450-500 years to rid the world of them. Concerned about the slow pace of demining, the Office of Science and Technology asked RAND to assess potential innovative technologies being explored and to project what funding would be required to foster the development of the more promising ones. The authors of this report suggest that the federal government undertake a research and development effort to develop a multisensor mine detection system over the next five to eight years.
Antipersonnel mines remain a significant international threat to civilians despite recent intense efforts by the United States, other developed countries, and humanitarian aid organizations to clear them from postconflict regions. Mines claim an estimated 15,000-20,000 victims per year in some 90 countries. They jeopardize the resumption of normal activities-from subsistence farming to commercial enterprise-long after periods of conflict have ceased. For example, in Afghanistan during 2000, mines claimed 150-300 victims per month, half of them children. Although most of these mines were emplaced during the Soviet occupation of Afghanistan (from 1979 to 1988), they continue to pose a serious risk to returning refugees and have placed vast tracts of farmland off limits. The United States currently invests about $100 million annually in humanitarian mine clearance-the largest commitment of any country. Despite this investment and the funding from many other developed nations and nongovernmental organizations, at the current rate clearing all existing mines could take 450-500 years.
This ARW is the third NATO-sponsored workshop on Explosives Detection and Humanitarian Demining. The previous events were • Detection and Destruction of Anti-Personnel Landmines Moscow, 1997 • Explosives Detection and Decontamination of the Environment Prague, 1997. Over the last decade applied research in Humanitarian Demining has made progress to some extend, but according to the tremendous tasks of Demining and the lack of scientific methods for practical detection of explosive devices, research activities are still of the same importance than ever before. Concerning countermeasures against terrorism the detection of explosives is one of the keyfactors, but the practical applications are not sufficient solved. An international exchange of research results are therefore urgent, to find out the most promising measures for application. The coincidence of this ARW and the terrible disaster of New York and Washington may demonstrate the importance of this task. In consequence the explosive device detection technologies can make a major contribution to collective, family and individual security. In developed countries, these technologies provide a strong deterrent and preventative measure against terrorist threats. In less developed regions, they can improve individual, institutional and state security, lessening the insecurity that motivates many terrorists acts. The elimination of landmine threats is just one of many ways of achieving this. However our attempts to meet the extremely difficult technical challenges posed by landmine and UXO contamination are inevitably leading us to new technological approaches.
This book examines potential technologies for replacing antipersonnel landmines by 2006, the U.S. target date for signing an international treaty banning these weapons. Alternative Technologies to Replace Antipersonnel Landmines emphasizes the role that technology can play to allow certain weapons to be used more selectively, reducing the danger to uninvolved civilians while improving the effectiveness of the U.S. military. Landmines are an important weapon in the U.S. military's arsenal but the persistent variety can cause unintended casualties, to both civilians and friendly forces. New technologies could replace some, but not all, of the U.S. military's antipersonnel landmines by 2006. In the period following 2006, emerging technologies might eliminate the landmine totally, while retaining the necessary functionalities that today's mines provide to the military.
This book examines potential technologies for replacing antipersonnel landmines by 2006, the U.S. target date for signing an international treaty banning these weapons. Alternative Technologies to Replace Antipersonnel Landmines emphasizes the role that technology can play to allow certain weapons to be used more selectively, reducing the danger to uninvolved civilians while improving the effectiveness of the U.S. military. Landmines are an important weapon in the U.S. military's arsenal but the persistent variety can cause unintended casualties, to both civilians and friendly forces. New technologies could replace some, but not all, of the U.S. military's antipersonnel landmines by 2006. In the period following 2006, emerging technologies might eliminate the landmine totally, while retaining the necessary functionalities that today's mines provide to the military.
Anti-personnel Landmine Detection for Humanitarian Demining reports on state-of-the-art technologies developed during a Japanese National Research Project (2002–2007). The conventional method of landmine detection is using metal detectors to sense the metal in mines, but often other metal fragments in minefields camouflage landmines and hinder progress using this form of demining. The challenge is to develop detection systems that can discriminate between AP landmines and random metal fragments. The JST adopted research proposals and the results are reported here. This book concentrates on aspects of three approaches to AP mine detection: enhancing and confirming the results of metal-detection scans using GPR; using robot vehicles and manipulators to operate within minefields remotely; and methods of sensing the explosives within mines. Results are presented in the fields of GPR, nuclear quadrupole resonance, neutron thermal analysis and biosensors. The integration of these methods for workable robot operation is demonstrated. The project was carried out in conjunction with mine action centers in Croatia, Cambodia and Afghanistan. Evaluation data from field trials are also given.
This book provides readers with a solid understanding of the capabilities and limitations of the techniques used for buried object detection. Presenting theory along with applications and the existing technology, it covers the most recent developments in hardware and software technologies of sensor systems with a focus on primary sensors such as Ground Penetrating Radar (GPR) and auxiliary sensors such as Nuclear Quadruple Resonance (NQR). It is essential reading for students, practitioners, specialists, and academicians involved in the design and implementation of buried object detection sensors.
Innovations in the area of Defence Support Systems are multi-disciplinary, cover a broad range of technologies, and could not possibly be covered within a single volume. This research book presents a sample of research as below: • On the Transition of Innovation and Technology in Defence • Inserting Innovations In-service • Classification of Battlefield Ground Vehicles based on the Acoustic Emissions • Convoy Movement Problem – An Optimization Perspective • Machine Vision Algorithms for Autonomous Aerial Refueling for UAVs using the USAF Refueling Boom Method • Motion Optimization Scheme for Cooperative Mobile Robots • An Automated Decision System for Landmine Detection and Classification The book is directed to the application engineers, research students, professors, decision makers and scientists & engineers working in defence and related areas.
The detection of hidden explosives has become an issue of utmost importance in recent years. While terrorism is not new to the international community, recent terrorist attacks have raised the issue of detection of explosives and have generated a great demand for rapid, sensitive and reliable methods for detecting hidden explosives. Counterterrorist Detection Techniques of Explosives covers recent advances in this area of research including vapor and trace detection techniques (chemiluminescence, mass spectrometry, ion mobility spectrometry, electrochemical methods and micromechanical sensors, such as microcantilevers) and bulk detection techniques (neutron techniques, nuclear quadrupole resonance, x-ray diffraction imaging, millimeter-wave imaging, terahertz imaging and laser techniques). This book will be of interest to any scientists involved in the design and application of security screening technologies including new sensors and detecting devices which will prevent the smuggling of bombs and explosives. * Covers latest advances in vapor and trace detection techniques and bulk detection techniques* Reviews both current techniques and those in advanced stages of development* Techniques that are described in detail, including its principles of operation, as well as its applications in the detection of explosives
The data collected by the NIITEK GPR, high range resolution (HRR) ground-penetrating radar (GPR), results in a digitized raw video representing signals re ected at the surface of as well as internal to the landmine due to changes in impedances, materials dielectric properties. This digitized signal has to undergo several stages of preprocessing in order to produce a binary-valued- sequence. A part of this sequence contains a specific length of string that is a characteristic of a mine pattern. The mine pattern, to be recognized from a longer string of processed GPR data, has to be presented to a landmine detector. The landmine detector not only detects the mine but also classifies them and discriminates the mines from clutter (noise). Three pattern recognizers, one reset Finite State Machine (FSM) and two behaviorally equivalent Parallel Correlators are designed to detect multiple landmines simultaneously. Alternative implementations of these processing modules are compared with respect to chip area in terms of number of slices (real-estate or chip area) and speed (processing time), as a function of the number of landmines to be simultaneously recognized. It is found that the reset FSM is smallest in size of all the architectures but the slowest, whereas, the first Parallel Correlator is largest in size and the second Correlator, the fastest. An alternative pattern recognizer, a non-reset Finite State Machine, sometimes known as a Rabin-Scott Machine, is also analyzed in terms of chip area (slices) and speed (processing time) but with respect to the relevant parameter, the maximum number of states in FSM. It was apparent that both- the size as well as the speed of the FSM increases with the increase in the number of states.