This work is devoted to the use of unmanned aerial vehicles (UAVs) to solve the problem of humanitarian demining. It is proposed to use a hyperspectral camera as a measuring element. The initial problem is the task of detecting and identifying the PFM-1 anti-personnel mine, which is dropped on large areas from a UAV. Processing of hyperspectral images is carried out based on the use of convolutional neural networks. An example of using the proposed approach is considered.
Application of Unmanned Aerial Vehicles for Landmine Detection and Classification using Hyperspectral Imagery
2024-10-22
304952 byte
Conference paper
Electronic Resource
English
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