Simulation of Hyperspectral Scene with Full Adjacency Effect

Adjacency effect contaminates pixel spectrum in remotely sensed hyperspectral data and should be fully considered in hyperspectral scene simulation. But existing simulation method cannot model all the mechanisms that induce adjacency effect or complete the simulation with full adjacency effect in a few hours. A method is proposed to simulate the hyperspectral radiance data cube with full adjacency effect in a reasonable time. The method depends on a physically-based radiative transfer equation, in which parameters relating to atmospheric and geometric conditions are calculated through four times of MODTRAN4 running and surrounding average reflectance are calculated based on the atmospheric single scattering Point Spread Function (PSF). The sensor's spatial resolution, spectral response function and Signal-to-Noise Ratio (SNR) are simulated to generate a calibrated data cube. Performance of the method is validated through simulating a set of AVIRIS radiance data and comparing it with the actual one.