Application of Artificial Intelligence for Crater Detection in Areas Affected by Military Actions
DOI:
https://doi.org/10.17721/1728-2713.113.14Keywords:
artificial intelligence, satellite monitoring, crater contour detection, computer vision, hyperparameter optimization, land reclamationAbstract
Background. Significant damage to land resources resulting from military actions has necessitated the implementation of modern approaches to assess land degradation and determine reclamation needs. Within the framework of this study, methods for applying Artificial Intelligence (AI) technologies are proposed for the rapid monitoring of damaged territories and calculating the volume of resources required for their restoration.
Methods. Processing of satellite and aerial imagery was carried out using computer vision algorithms, specifically YOLOv5 and Faster R-CNN convolutional neural networks, as well as contour detection methods and the Hough transform. To enhance data processing efficiency, the Amazon Web Services (AWS) cloud infrastructure was utilized, and hyperparameter optimization was implemented using the Optuna library.
Results. The research results confirm the effectiveness of the proposed approach. The use of models adapted from the PyCDA project (originally designed for planetary crater detection) enabled the high-precision identification of craters caused by explosions. Heuristic contour detection algorithms were developed to improve analytical accuracy, and methodologies for estimating reclamation volumes based on geometric models and satellite observations were implemented. Optimized algorithmic parameters ensured increased performance of the automated data processing system.
Conclusions. The practical significance of the study is validated by the creation of a comprehensive toolkit for assessing the state of degraded lands and formulating restoration strategies. The proposed solutions are recommended for use by government agencies, environmental services, and scientific organizations involved in mitigating the consequences of land degradation and planning reclamation activities.
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