Approach to assessing hyperspectral data quality

Jiping Ma; Qingxi Tong; Lanfen Zheng; Bin Zhang

doi:10.1117/12.441378

25 September 2001 Approach to assessing hyperspectral data quality

Jiping Ma, Qingxi Tong, Lanfen Zheng, Bin Zhang

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441378
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.441378

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