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25 September 2001 Approach to assessing hyperspectral data quality
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Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Imaging data from airborne hyperspectral sensor possess strong spatial correlation within each band as well as strong spectral correlations between the data in that band and the data in its two adjacent bands. These close correlations inherent in the imaging data provide access to evaluating image quality of different channels. According to the above characteristics, a method is described in the present paper for hyperspectral remote sensing imagery quality assessment. The method, which is based on analysis of within_band spatial autocorrelation information and between_band comparative analysis, is developed for that purpose. Convincing result is achieved when this method is applied to imaging data acquired from PHI.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiping Ma, Qingxi Tong, Lanfen Zheng, and Bin Zhang "Approach to assessing hyperspectral data quality", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001);


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