Hyperion true color images mosaic

Lili Jiang, Xiaomei Chen*, Guoqiang Ni, Daqi Xu, Hailan Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

To meet the requirements of large-scale hyperspectral image analysis and identification applications, a processing flow of georeferenced mosaic is set up particularly for Hyperion true color images with overlapping areas. The method mainly includes algorithms of brightness balancing and cutline feathering. Advanced weight-smoothing is applied to blend image boundaries as a feathering technique, and brightness balancing is fulfilled using Improved-Compensation and Histogram Matching. In these improved methods gray threshold is setting extra for features of Hyperion data, which include random high brightness factor (e.g. cloud and mist). Furthermore, all these methods are easily operated and quite effective for massive data such as Hypeiron images. Finally, a mosaic thematic map (with a scale of 1:100,000) of 8 scenes of Hyperion images is produced based on the research in this paper, which makes the image boundaries natural and provides a good visual result.

Original languageEnglish
Title of host publicationElectronic Imaging and Multimedia Technology V
DOIs
Publication statusPublished - 2008
EventElectronic Imaging and Multimedia Technology V - Beijing, China
Duration: 12 Nov 200715 Nov 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6833
ISSN (Print)0277-786X

Conference

ConferenceElectronic Imaging and Multimedia Technology V
Country/TerritoryChina
CityBeijing
Period12/11/0715/11/07

Keywords

  • Brightness balancing
  • Cutline feathering
  • Hyperion
  • Mosaic

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Jiang, L., Chen, X., Ni, G., Xu, D., & Li, H. (2008). Hyperion true color images mosaic. In Electronic Imaging and Multimedia Technology V Article 68332Z (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6833). https://doi.org/10.1117/12.757813