The analysis on parameters of the payload on hyperspectral satellite

This paper focuses on the analysis and selection of space-borne hyperspectral sensor parameters, through the simulation of the entire data acquisition process and the applications using simulated hyperspectral data. Aiming at the alteration mineral identification and mapping, we used the simulated space-borne hyperspectral data with different payload parameters including the spatial resolution, spectral resolution and Signal-to-Noise-Rate (SNR) from HyMAP air-borne hyperspectral data in Dongtianshan area in Xinjiang Province of China to identify and map the alteration minerals, so that we could analyze and compare these results to find the optimal combination of payload parameters. A combination of the parameters of 30m spatial resolution, 10 - 20nm spectral resolution and 200: 1 (VNIR) / 150: 1 (SWIR) SNR was evaluated to possess the strongest ability for the mineral identification and mapping. This technology can also be promoted by the other payload parameter analysis and selection.