Shallow buried improvised explosive device detection via convolutional neural networks
S Colreavy-Donnelly, F Caraffini… - Integrated …, 2020 - content.iospress.com
The issue of detecting improvised explosive devices, henceforth IEDs, in rural or built-up
urban environments is a persistent and serious concern for governments in the developing …
urban environments is a persistent and serious concern for governments in the developing …
Improved thermal analysis of buried landmines
PL Martínez, L Van Kempen, H Sahli… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
In this paper, we address the problem of the detection and identification of surface-laid and
shallowly buried landmines from measured infrared images. A three-dimensional thermal …
shallowly buried landmines from measured infrared images. A three-dimensional thermal …
Land mine detection by infrared thermography: reduction of size and duration of the experiments
A Muscio, MA Corticelli - IEEE Transactions on Geoscience and …, 2004 - ieeexplore.ieee.org
The effectiveness of infrared thermography applied to the detection of abandoned land
mines is not yet acceptable. It can probably be improved, however, by computerized …
mines is not yet acceptable. It can probably be improved, however, by computerized …
[HTML][HTML] Performance analysis of techniques used for determining land mines
Today, remote sensing is used for different methods and different purposes. In all of the
detection methods, some considerations such as low energy consumption, low cost …
detection methods, some considerations such as low energy consumption, low cost …
A mixed-mode polynomial cellular array processor hardware realization
M Laiho, A Paasio, A Kananen… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
A mixed-mode cellular array processor is presented in which the processing units (PUs) are
coupled with programmable polynomial (linear, quadratic, and cubic) first neighborhood …
coupled with programmable polynomial (linear, quadratic, and cubic) first neighborhood …
Developing of decision support system for land mine classification by meta-heuristic classifier
In this study, a decision support system has been developed for land mine detection and
classification. Data obtained from detector based magnetic anomaly have been used to …
classification. Data obtained from detector based magnetic anomaly have been used to …
Experiments of thermographic landmine detection with reduced size and compressed time
A Muscio, MA Corticelli - Infrared physics & technology, 2004 - Elsevier
Infrared thermography is a promising technique for the detection of buried landmines. Its
effectiveness is not yet satisfactory, but it can presumably be improved by means of proper …
effectiveness is not yet satisfactory, but it can presumably be improved by means of proper …
Modelling air-pollution problem by cellular neural network
VD Thai, PT Cat - … on Control, Automation, Robotics and Vision, 2008 - ieeexplore.ieee.org
This paper introduces a new method to solve air-pollution problems using the Cellular
Neural Network (CNN). By presenting this problem, the advantages and effects of CNN in …
Neural Network (CNN). By presenting this problem, the advantages and effects of CNN in …
Thermal detection of buried landmines by local heating
M Balsi*, M Corcione - International Journal of Systems Science, 2005 - Taylor & Francis
A new concept for buried antipersonnel mine (APM) detection is proposed. The detection
system is based on a focused heat source and a contactless thermometer mounted on a …
system is based on a focused heat source and a contactless thermometer mounted on a …
Low-cost mine detector design using magnetic anomaly method
Buried mines pose great dangers to humans and animals around the world, which means
thousands of people die each year from buried mines. Detecting and destroying these mines …
thousands of people die each year from buried mines. Detecting and destroying these mines …