Restoration and reconstruction from overlapping images for multi-image fusion

Stephen E. Reichenbach, Jing Li

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


This paper describes a technique for restoring and reconstructing a scene from overlapping images. In situations where there are multiple, overlapping images of the same scene, it may be desirable to create a single image that most closely approximates the scene, based on the data in all of the available images. For example, successive swaths acquired by NASA's moderate imaging spectrometer (MODIS) will overlap, particularly at wide scan angles, creating a severe visual artifact in the output image. Resampling the overlapping swaths to produce a more accurate image on a uniform grid requires restoration and reconstruction. The one-pass restoration and reconstruction technique developed in this paper yields mean-square optimal resampling, based on a comprehensive end-to-end system model that accounts for image overlap and is subject to user-defined and data-availability constraints on the spatial support of the filter.

Original languageEnglish (US)
Pages (from-to)769-780
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number4
StatePublished - Apr 2001
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)


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