Fusion of multisensor images and digital map data for the reconstruction and interpretation of agricultural land-use units

Thomas Loecherbach

doi:10.1117/12.182896

17 August 1994 Fusion of multisensor images and digital map data for the reconstruction and interpretation of agricultural land-use units

Thomas Loecherbach

Author Affiliations +

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182896
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

The paper describes an approach to reconstructing agricultural land-use areas from remotely sensed images using digital polygon maps as prior information. Our goal is to update the geometry and class label of agricultural parcels. The approach integrates an estimation of the vector polygons and the derivation of object (i.e. land-use unit) related features for the determination of the object classes. Both a feature edge model for the transition between two land-use units and the assumption of homogeneity are used to reconstruct the land-use units in a least squares approach. The theoretical concept and its technical realization are described, first results are presented and a critical evaluation of the results with a discussion of possible extensions is given.

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Thomas Loecherbach "Fusion of multisensor images and digital map data for the reconstruction and interpretation of agricultural land-use units", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182896

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