Extracting contours by perceptual grouping
Image and Vision Computing
CVGIP: Image Understanding
An optimizing line finder using a Hough transform algorithm
Computer Vision and Image Understanding
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Automatic Extraction of Man-Made Objects from Aerial and Space Images
Automatic Extraction of Man-Made Objects from Aerial and Space Images
A Framework for Low Level Feature Extraction
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Probabilistic Decisions in Production Nets: An Example from Vehicle Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Application of the Tensor Voting Technique for Perceptual Grouping to Grey-Level Images
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system
Pattern Recognition Letters
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Modern airborne synthetic aperture radar sensors provide high spatial resolution data. Experimental systems have even achieved decimetre resolution. In such data, many features of urban objects can be identified, which are beyond what has been achieved by radar remote sensing before. An example for the new quality of the appearance of urban man-made objects such as buildings in these data is given and interpreted. The fine level of detail opens the opportunity to reconstruct detailed structures of such objects from SAR data with structural pattern recognition techniques. Artificial intelligence concepts such as production systems provide proper means for this purpose. The feasibility of these methods is demonstrated here. Extended building features such as long thin roof edge lines, groups of salient point scatterers, and symmetric configurations are detected using principles from perceptual grouping and Gestalt psychology. These are good continuation, similarity, proximity and symmetry.