International Journal of Science, Engineering and TechnologyAuthors: Kabir Kohli
Abstract: Quantum dot (QD)-based hyperspectral imaging transforms unmanned aerial vehicle (UAV) reconnaissance by enabling high-resolution spectral detection across a wide wavelength range. Traditional imaging systems often face sensitivity and spectral coverage limitations, but QDs offer tunable optical properties that significantly enhance imaging precision. By leveraging their size-dependent bandgap and high quantum efficiency, QDs enable hyperspectral sensors to detect subtle variations in material composition, making them ideal for military surveillance. Quantum dots exhibit strong photoluminescence, broadband absorption, and carrier multiplication, contributing to their exceptional imaging capabilities. Their integration into UAV-based hyperspectral systems involves optimizing material synthesis, surface passivation, and sensor engineering to ensure long-term performance. Advanced fabrication techniques, including core-shell structures and ligand engineering, enhance stability and signal clarity, making QD sensors more reliable in diverse environmental conditions. QD-enhanced hyperspectral imaging supports critical military applications such as battlefield monitoring, threat identification, and stealth surveillance. These sensors can detect concealed objects, differentiate camouflaged materials, and accurately identify hazardous substances. Analysing spectral fingerprints enables UAVs to operate in low-visibility and high-risk environments, providing real-time intelligence for tactical decision-making. Despite their advantages, QD-based sensors face challenges related to environmental stability, real-time data processing, and large-scale manufacturing. Future advancements in AI-driven hyperspectral analytics and improved QD synthesis will refine UAV reconnaissance, enhancing efficiency and adaptability in modern defence operations.
DOI: http://doi.org/10.5281/zenodo.17636980
