Georegistration of airborne hyperspectral image data

Changno Lee, James Bethel

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

A suite of geometric sensor and platform modeling tools has been developed which have achieved consistent subpixel accuracy in orthorectification experiments. Aircraft platforms in turbulent atmospheric conditions present unique challenges and have required creative modeling approaches. The geometric relationship between an image point and a ground object has been modeled by rigorous photogrammetric methods. First and second order Gauss-Markov processes have been used to estimate the platform trajectory. These methods have been successfully applied to HYDICE and HyMap data sets. The most important contributors to the subpixel rectification accuracy have been the first order Gauss-Markov model with control linear features.

Original languageEnglish
Pages (from-to)1347-1351
Number of pages5
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume39
Issue number7
DOIs
StatePublished - Jul 2001

Keywords

  • Airborne hyperspectral imagery
  • Georegistration
  • Linear feature
  • Rectification

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