Analysis and modeling simulation of hyperspectral target characteristics in remote sensing earth observation

Aiming at the demand for target detection of typical ground and object backgrounds in hyperspectral earth observation, this project solves the problems of insufficient sample size and low fidelity of target environment scene in intelligent learning, training and testing of a novel optoelectronic detection system, breaks through the key technologies of modeling of hyperspectral imaging simulation mechanism, modeling of hyperspectral reflectance/radiation characteristics of typical target background, computation of hyperspectral atmospheric transmission characteristics, and modeling of hyperspectral optical detectors, etc., and organically integrates remote sensing imaging and spectral measurement technologies. Through simulation, it simultaneously acquires spatial and spectral radiation information data from typical target backgrounds, thus providing foundational data support for the design of target detection algorithms based on hyperspectral data.