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7 November 2008 Research of image preprocessing methods for EO-1 Hyperion hyperspectral data in tidal flat area
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Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71471G (2008) https://doi.org/10.1117/12.813253
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huan Li, Dong Zhang, Ying Zhang, and Yong Xu "Research of image preprocessing methods for EO-1 Hyperion hyperspectral data in tidal flat area", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71471G (7 November 2008); https://doi.org/10.1117/12.813253
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