Share Email Print
cover

Proceedings Paper

Approach to assessing hyperspectral data quality
Author(s): Jiping Ma; Qingxi Tong; Lanfen Zheng; Bin Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 25 September 2001
PDF: 4 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441378
Show Author Affiliations
Jiping Ma, Wuhan Univ. and Institute of Remote Sensing Applications (China)
Qingxi Tong, Wuhan Univ. and Institute of Remote Sensing Applications (China)
Lanfen Zheng, Wuhan Univ. and Institute of Remote Sensing Applications (China)
Bin Zhang, Wuhan Univ. and Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing
Qingxi Tong; Yaoting Zhu; Zhenfu Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top