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Proceedings Paper

Remote sensing imagery classification on a base of GIS knowledge invocation
Author(s): Dmitri A. Denissov
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Paper Abstract

The ways in which the knowledge gained from GIS can be incorporated into the satellite imagery classification process are analyzed. The problem of land cover types classification and land cover types annual changes detection is considered with respect to a particular area of Germany. The emphasis is given to the inland water bodies change detection, woodland development analysis and suburban development analysis. The possibilites of simultaneous manipulation over the raster (satellite images) and vector (map information) spatial data are demonstrated.

Paper Details

Date Published: 29 September 1995
PDF: 12 pages
Proc. SPIE 2553, Infrared Spaceborne Remote Sensing III, (29 September 1995); doi: 10.1117/12.221392
Show Author Affiliations
Dmitri A. Denissov, Ctr. for Environmental Research (Germany)

Published in SPIE Proceedings Vol. 2553:
Infrared Spaceborne Remote Sensing III
Marija Strojnik; Bjorn F. Andresen, Editor(s)

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