"Hyperspectral Dataset of Camouflaged Targets via UAV in Natural Environments"

"This dataset presents a high-resolution hyperspectral imaging collection specifically designed for camouflaged target detection research in natural grassland environments. The data was acquired using an unmanned aerial vehicle (UAV) platform, specifically the DJI M350 RTK, equipped with a Resonon Pika L hyperspectral sensor. The imaging system captures contiguous spectral information across the visible to near-infrared (VNIR) wavelength range, comprising 150 spectral bands from 400 nm to 1000 nm with high spectral resolution.The raw hyperspectral data cubes have undergone rigorous preprocessing, including strip\/band stitching to eliminate motion artifacts and spatial alignment errors inherent in UAV-based push-broom scanning, followed by comprehensive radiometric and geometric corrections to ensure data fidelity. The dataset features various camouflaged targets positioned against grassland backgrounds, providing diverse spectral signatures for target-background discrimination analysis.This dataset is valuable for developing and benchmarking algorithms in hyperspectral target detection, anomaly detection, spectral unmixing, and background suppression techniques. It supports research applications in defense technology, precision agriculture, environmental monitoring, and remote sensing-based surveillance systems. "