Signal processing for humanitarian mine action

Anti-personnel landmine casualties are continuously increasing each year. Political efforts and new technologies for detection and removal are needed. The first priority of humanitarian mine action is to help affected countries, regions, and people to reach a normal life by building technologies that can save human lives and increase mine action efficiency and by developing technologies and understanding the work of environment while working interactively with users. Humanitarian action types that may benefit from signal processing techniques are close-in detection which consists of detecting surface or subsurface anomalies that may be related to the presence of mines and the area reduction that consists of identifying the mine-free areas out of the mine-suspected areas. Both types need efficient modeling and fusion of extracted signal features to improve reliability and quality of single-sensor-based processing.