Sineglazov, Viktor MykhailovychBrovko, Danil Vitaliiovych2026-02-182026-02-182025Brovko, D. V. SpectralCA: Hybrid Neural Network for UAV-Based Hyperspectral Landmine Detection : Master’s Thesis : 122 Computer Sciences / Brovko, Danil Vitaliiovych. – Kyiv, 2025. – 114 p.https://ela.kpi.ua/handle/123456789/78850Master's dissertation: 111 p., 29 figures, 20 tables, 41 references, and 2 appendices. The relevance of this research lies in the growing demand for unmanned aerial vehicles (UAVs) capable of operating reliably in complex environments where conventional navigation becomes unreliable due to interference, poor visibility, or camouflage. Hyperspectral imaging (HSI) provides unique opportunities for UAV-based computer vision by enabling fine-grained material recognition and object differentiation, which are critical for navigation, surveillance, agriculture, and environmental monitoring. The object of the study is hyperspectral image classification. The subject of the research is development of a high-performance deep learning architecture for a classification task in hyperspectral imaging. The purpose of this work is to modify the Mobile 3D Vision Transformer (MDvT) by introducing the proposed SpectralCA block. This block employs bi-directional cross-attention to fuse spectral and spatial features, enhancing accuracy while reducing parameters and inference time. Experimental evaluation was conducted on the WHU-Hi-HongHu dataset, with results assessed using Overall Accuracy, Average Accuracy, and the Kappa coefficient. The findings confirm that the proposed architecture improves UAV perception efficiency, enabling real-time operation for navigation, object recognition, and environmental monitoring tasks. Versions of this work were published in arXiv and presented at the 2025 IEEE 8th International Conference on Methods and Systems of Navigation and Motion Control. Also, this research won first place at the 2025 International Student Research Competition in Artificial Intelligence.114 p.enSpectralCAdeep learningcomputer visionhyperspectral imagingunmanned aerial vehicleobject detectionsemi-supervised learningSpectralCAглибоке навчаннякомп'ютерний зіргіперспектральне баченнябезпілотний літальний апаратвиявлення об'єктівнапівкероване навчанняMaster Thesis004.8:528.8:629.735