Abstract
Because of great theoretical value and application prospects in civil and military affairs, hyperspectral image quality assessment method has been a hot research issue in current target recognition and remote sensing information processing field. In this article, firstly, we explicitly described evaluation methods which affect the quality of hyperspectral image based on two aspects of image quality and spectral quality evaluation. Afterwards, we used data cube provided by Australia Airborne Imaging Spectrometer Hymap as ideal raw spectral data to separately restored the degraded images by using Wiener Recovery, R-L Recovery and CGA Recovery, and then verified the recovery results through image quality assessment methods and spectral assessment methods introduced in this article, and finally made a general judgement on the merits of each method.
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