The Quality Assessment of Hymap Simulation Spaceborne Hyperspectral Data

In order to evaluate the hyperspectral satellite data quality effectively, rationally and objectively to facilitate mineral and energy exploration, we carried out an in-depth study, centering on the most representative load indexes (geometric spatial resolution, spectral resolution and signal-to-noise ratio). systematically and comprehensively analysing the image quality effect on different loading indicators and scale of analog spaceborne Hymap hyperspectral data by multi-angle research methods including mean squared error (MSE) abnormalities, abnormal histogram, data related abnormalities, abnormal reflectivity curve, the signal-noise ratio (SNR) parameter and the practical application of the analog data (alteration information extraction and mineral mapping). Results suggest that the three load index restrict each other. With the improvement of spatial resolution and spectral resolution, SNR will reduce. When the geometric space resolution is 15 m, spectral resolution is 15-20 nm, and SNR≥350, it can satisfy the requirement of the conventional mineral mapping.