Our mission at the Demining Research Community (DRC) is to research, develop, and field test cutting edge sensors and platforms to improve current demining technologies. We specialize in developing more efficient landmine and UXO detection methods by fusing unmanned aerial and ground vehicles (UAVs, UGVs) with remote sensing and machine learning. Additionally we want to create a platform for the mine action community to learn about current research, and bridge the gap between demining and academia. Our ultimate goal at the DRC is to assist in detecting the millions of landmines and unexploded ordnances worldwide, providing novel and innovative solutions to a decades old humanitarian crisis.
The Demining Research Community was founded by members of Binghamton University’s Geophysics and Remote Sensing Laboratory, a team of interdisciplinary scientists with backgrounds in remote sensing, geophysics, computer science, archeology, and geology. Our original focus was on detecting scatterable surface-lain plastic landmines using thermal and visual drone imagery but has expanded into researching the use of machine learning to automate mine detection from UAV-based imagery, and researching the use of UAV-based Aeromagnetic survey system to detect and identify Multiple Barrel Rocket Launcher (MBRL) unexploded ordnances (UXOs).
We support open source practices and make all of our publications and datasets available to the public. We are open to collaboration with other scientists and demining organizations and welcome all inquiries and input.