Knowledge-based analysis of satellite images

Klaus-Juergen Schilling; Thomas Voegtle; Peter Muessig

doi:10.1117/12.182815

17 August 1994 Knowledge-based analysis of satellite images

Klaus-Juergen Schilling, Thomas Voegtle, Peter Muessig

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182815
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

This paper shows several working steps for updating the `Digitale Landschaftsmodell 200 (DLM 200)' using satellite images. It is based on a two-step approach: verification and classification. First the existing semantic model (DLM 200) is used for the knowledge based object oriented analysis of the satellite images. At the second stage the information gained from the first step serves to prove and update the DLM 200. Since the DLM 200 is produced by digitizing the map layers of the `Topographische Ubersichtskarte (TUK 200),' typical cartographic aspects have to be considered. Some examples illustrating these effects on a representative class of the DLM 200 are shown. After the determination of these geometric relations between the DLM 200 and the images the `knowledge,' based on the DLM 200, backs up the object based analysis of the satellite images. Image areas which do not fit the DLM 200 are examined at the second stage. The classification has to assign the changes detected in the course of the verification to appropriate classes of the DLM 200. This process uses the parameters of the image analysis as additional information.

Citation Download Citation

Klaus-Juergen Schilling, Thomas Voegtle, and Peter Muessig "Knowledge-based analysis of satellite images", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182815

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