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Proceedings Paper

Research of image preprocessing methods for EO-1 Hyperion hyperspectral data in tidal flat area
Author(s): Huan Li; Dong Zhang; Ying Zhang; Yong Xu
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Paper Abstract

With the advantage of image-spectrum integration and quantitative analysis, space-borne hyperspectral remote sensing technique was increasingly applied in ground object identification and information extraction at coastal region to solve the difficulty for field observation and sampling. In order to deeply excavate the embedded spectral information for different features in coastal area, the preprocessing process of hyperspectral image was essential and necessary. So taking Hyperion hyperspectral image as example dataset, the objective of this article is to study and build a doable flowchart for Hyperion image preprocessing to get the reflectance image of coastal region for further study and use. The processes include: (1) bad lines fixing; (2) vertical stripes removing; (3) atmospheric correction; (4) geometric correction and (5) tidal flat area separation from vegetation and water body. Related algorithms and parameters were also discussed in detail.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71471G (7 November 2008); doi: 10.1117/12.813253
Show Author Affiliations
Huan Li, Nanjing Normal Univ. (China)
Dong Zhang, Nanjing Normal Univ. (China)
Ying Zhang, Nanjing Normal Univ. (China)
Yong Xu, Nanjing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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