A knowledge-based
system for the computation of land use mixing and the classification of
a multi-spectral satellite scene
Authors: S. Mathieu-Marni, S. Moisan, and R. Vincent
Abstract:
This paper describes the use of a knowledge-based system to manage a library
of image processing programs which performs the computation of land cover
mixing in pixels of a multi-spectral satellite image. This system has been
developed to help naturalists, such as geologists, pedologists, or foresters
who are not specialists in computer vision. It automatically processes
the data coming from satellites. The role of such a system is to convert
the requirements of a user, expressed in terms of user requests, into the
correct image processing commands. Consequently, the users can concentrate
their attention on the interpretation of the results and not on the data
management. Finally, some examples are shown.
Keywords: Remote sensing, Knowledge-based system, Multi-spectral
scene, Land cover mixing, Classification
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BibTeX reference:
@ARTICLE{IJRS95,
AUTHOR = {Mathieu-Marni , S and Moisan , S and Vincent , R},
JOURNAL = {International Journal of Remote Sensing},
TITLE = {A knowledge-based system for the computation of
land use mixing and the classification of a
multi-spectral satellite scene},
YEAR = {1995}
}
Dernière mise à jour : 15/03/01
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