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Techniques have been developed for representing knowledge about complex cultural and natural environments. Specialized, highly robust operators for recognizing primitive scene structures (shadows, texture, color, lines, and edges) and semantic objects (sky, ridge lines, trees) have been constructed using optimization techniques and global analysis, rather than small window-based operators.