Multisensor data fusion for surface land-mine detection

Sensor Data Fusion for Anti-Personnel Land-Mine Detection

In this paper five different sensor data fusion options for the detection of anti-personnel land-mines are presented. The performance of these options are evaluated in a case study of estimated figures for mines and possible false alarm generating objects. Dempster-Shafer with proper mappings and rule based fusion provided the best result and an improvement over single sensor solutions.

Data Fusion for Vehicle-borne Mine Detection

This paper introduces a statisticallywell-founded evaluation of the fusion of dual-band infrared and tri-band visual imagery for detecting buried land mines using real-data. A unified Bayesian framework is presented for representing and inferring from data captured by multiple sensors of scenes that may contain buried land mines.

Multisensor Data Fusion

Multisensor Data Fusion

IMultisensor data fusion refers to the acquisition, processing and synergistic combination of information gathered by various knowledge sources and sensors to provide a better understanding of a phenomenon. It is a fascinating and rapidly evolving field that has generated a lot of excitement in the research and development community. These concepts are being applied to a wide variety of fields ...

Multisensor System to Improve Mine Detection Capability

No single mine sensor has the potential to increase the probability of detection and decrease false alarm rates for all types of mines under the wide variety of environmental conditions in which mines exist. As is clear from the previous chapter, each innovative method is subject to limitations under certain conditions of environment and mine type. Thus it is unlikely that any one technology wi...