Automatic registration of ERS and SPOT multisensor images in a data fusion context

This paper deals with an automatic registration method of multidate and multisensor remote sensing images as preprocessing in a multichannel consensual segmentation scheme. This two step method consists in a geometrical correction followed by residual translation compensation, performed by detecting...

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Bibliographic Details
Published in:Forest ecology and management 2000-03, Vol.128 (1), p.93-100
Main Authors: Thépaut, Olivier, Kpalma, Kidiyo, Ronsin, Joseph
Format: Article
Language:English
Subjects:
correction factors
data analysis
Data fusion
Environment management
environmental management
Multisensor image registration
remote sensing
satellite imagery
vegetation
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Summary:This paper deals with an automatic registration method of multidate and multisensor remote sensing images as preprocessing in a multichannel consensual segmentation scheme. This two step method consists in a geometrical correction followed by residual translation compensation, performed by detecting the crosscorrelation maximum between multidate images. This second step is preceded by an edge detection for prefiltered European remote sensing satellite (ERS) and satellite pour l’observation de la terre (SPOT) multisensor images. The registration of these two kinds of images constitutes, indeed, the unavoidable first part of a multichannel data fusion scheme that requires point to point matching.
ISSN:0378-1127
1872-7042
DOI:10.1016/S0378-1127(99)00276-5