Repeatability of Hyperspectral Imaging Systems for Remote Sensing

摘要

Hyperspectral remote sensing imaging systems are measuring instruments whereby the spectrum of each pixel in the target image may be used to quantify or identify its properties. Hyperspectral image cubes acquired in consecutive flights over the same target, should ideally be identical but in practice there are significant differences between them. These differences are due to variations in: target characteristics, solar illumination, atmospheric conditions and errors of the imaging system proper. When the non-repeatability variance is similar in magnitude to the variance of the spectral or spatial information of interest, it would be impossible to use it for classification or quantification prediction modeling. Modus operandi is presented for objective assessment of spatial and spectral repeatability by multiple image cube acquisitions, wherein the imaging system views a Barium Sulfate (BaSO4) painted panel illuminated by a Halogen lamp and by consecutive flights over a reference target.